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Trying to define cloud computing seems like a herculean task. Cynics might say it is nothing but industry exaggeration, visionaries might say it is the future of IT. In a way, both the statements are true-cloud computing does hold real potential for new types of on-demand dynamic IT services.
The analogy is, ‘Why buy a cow when buying milk is more convenient instead?’

For example, Gmail, Yahoo etc. One does not need software or a server to use them. All one needs is an internet connection and one can start sending emails. The server and email management software is all on the cloud (internet) and is totally managed by the cloud service provider, which in this case, can be Google or Yahoo etc. The user gets to use the software alone and enjoy the benefits.
“All the services that the vendors offer to both businesses and consumers over the Internet come under The Cloud”.
It’s a Great Explanation But…
The cloud is many things to many people:

-Online storage of files and music? That’s the cloud.
-Running a company’s proprietary business software using powerful servers hosted offsite? That’s the cloud, too.
-Parents sending videos of their kids to their grandparents? Once again, the cloud.
-Online software for business management? The cloud.
-Managing network online? The cloud.
-Plays music,
-Handles transactions,
-Lowers the business cost,
-Product marketing,
-Enables relationships with your customers and peers, and
-So very much more?
The cloud of course!
The concept of cloud is indeed very vast and consists of many parts, hence the ambiguity in defining.

Cloud computing covers numerous models.

Cloud computing covers numerous models. Cloud computing isn’t just one thing; rather, it is a number of customizable options to fit IT and business requirements.


Evolutionary journey to the cloud.

Cloud computing is based on current IT trends like data center consolidation and server virtualization. Enterprises are following a practical path to the cloud by adopting new technologies, transitioning from physical to virtual IT assets, and adapting existing IT best practices to a new dynamic world.


The network acts as the foundation for cloud computing.

Cloud computing moves Web-based applications to the Internet inexorably tying user connectivity and productivity to networking equipment. Of all networking technologies available, WAN optimization plays a major role in the transition to the cloud.

Cloud Computing Decomposed.
Cloud computing is a general term for anything that involves delivering hosted services over the Internet. These services are broadly divided into three categories:

Infrastructure-as-a-Service (IaaS)
Platform-as-a-Service (PaaS)
Software-as-a-Service (SaaS)
Infrastructure as a Service (IaaS)It is a provision model in which an organization outsources the equipment used to support operations, including storage, hardware, servers, and networking components. The service provider owns the equipment and houses, runs and maintains it. The client typically pays on a per-use basis.


Platform as a Service (PaaS)
Platform as a service (PaaS) has everything one needs for business applications. It comes complete with infrastructures such as networking, online storage, and servers, as well as database management systems, development tools, and more. It is designed to help create, test, develop, and update your application.

Software as a Service (SaaS)
Software distribution model in which vendor hosts the applications or service provider and makes them available to customers over a network, typically the Internet.

Advantages:
The advantages of using Cloud computing are:

Collaboration – Teams can work together instead of working through a closed network. Team members can talk to each other about changes that need to be made and then go ahead and make them.
Global team network – Since technical writing and training development teams don’t need to be stationed in one location, you can hire the best talent out there. Without a need for relocation, companies save money and still get high-quality work, around the clock.
Multiple storage options – When saving a document in the cloud, the document can also be stored on the technical writer’s or training developer’s home computer as well as on the cloud server. This allows for backup copies, ensuring safety for the work that has been completed.

It is understandable that the combination of Cloud and DevOps is transformational for any organization. In fact, Amazon's AWS is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis.


Disaster Recovery Solutions.
You need data protection when catastrophe strikes. Preventing as much data loss as possible is critical regarding time, money, and efficiency. Cloud provides a much faster, and cost-effective disaster recovery than traditional solutions could ever offer.

The best way to deal with a tragedy is to prepare for it beforehand. One should always consider any worst-case scenarios since most catastrophic events are unplanned. Before cloud computing, one would have to distribute and collect various tapes and drives and then transfer the data to a central location. Now, one can just click a few buttons and have it done for you.

Cost Savings.
One no longer needs to buy a ton of external hard drives to keep your critical information. Companies can save up to 43% annually by migrating virtualized operating system instances in the cloud. Besides that, the cloud gives access to professional staff, advanced security systems, and cutting-edge hardware and software, which adds up to the projected savings.

Cloud service providers that utilize a pay-as-you-go model are especially useful since you will never have to spend money on services that you are not using.

Comparing this to a monthly subscription service where you must pay to apply for the entire month regardless of how often you use it. If you use a monthly subscription service for only two weeks, you will get half of your money’s worth.

Performance and Speed.
Enterprise-grade technology makes it available to smaller companies as well. This form of utility computing makes emerging technologies available to businesses at an affordable price point.
One can access high-performance hardware and software to improve your operations. The opex-based delivery model makes cloud resources accessible to businesses of any sizes. You just need to pick the solution that meets your needs best.

Data Security.
Keep your data secure and make sure that it does not fall into the wrong hands.

Ideal solution for business continuity and always-on availability of your files is cloud backups. All clouds provide some degree of encryption, deterrent, and compliance, but private clouds are the most secure from outsiders. Still, beware of internal attacks.

Today, we are going to talk about DevOps we are going to understand what DevOps is and if is it the right choice for you or not. When I hear the word DevOps I am pretty sure that you have already heard it and I get a lot of questions especially from the big nerds in their first semester or second semester who want to pursue DevOps as their career. So is it the right choice for you?

Check Out DevOps Training In Bangalore and DevOps Training In Hyderabad.

The first and foremost the most important thing is what is this DevOps now. There are various definitions of DevOps and a variety of videos on DevOps and fortunately or unfortunately all of them are absolutely correct but still they don't give you the exact idea what DevOps is and where you can learn it. DevOps apart from being a buzzword of the Internet is coming up from a clip compound word coming from the two words 'development' and 'operations'. I'm going to explain more about this development and the operation in later half but right now let's just understand that it's coming up from the two words in development and operations. Now, before we proceed in understanding the problem statement, let's find the exact problem that DevOps is trying to solve. DevOps is neither a tool nor it is a software. It is not at all a programming language that you can learn and call yourself as a DevOps engineer. Also, it is absolutely not like that if DevOps is not a technology then it's not a tool nor it's not a programming language. But then what DevOps is?
DevOps is moreover a philosophy. It is moreover a mindset, the way how you take your product: the app or website you are designing and taking that website or product so that millions of people can use it. This entire process has a variety of ways that you can go through with. DevOps is one of that mindset and one of that philosophy in which one of the working ways to produce things is from the development side into the production stage. So DevOps is a concept that is used in the application lifecycle management and making sure that your development team is actually absolutely relaxed as well as your operation team, the team that handles all the servers and all those amazing stuff is also relaxed. They both must be working in sync with each other so that whatever the product or feature you want to give to your end-user, you can do that absolutely smoothly. Now let's go ahead and try to understand what is the big problem that the DevOps is trying to resolve. Whenever an application is being developed, there are a variety of phases of its development. When the application is very small scale i.e., maybe you are designing a website or maybe just a mobile lab then it's all good and happy because you are ultimately managing everything. You just design a website and put it on to the servers cloud. The features are very next day available to the entire world to be used but things actually do change when you are a big scale application. For example, probably YouTube, Swiggy, Zomato, Flipkart or maybe any other popular website. When these websites are being done, we have a variety of teams that manage different parts or different architectures of these applications putting it onto a midsize application or midsize company. Usually, there are two teams: the team one known as devil developers. In this developer team includes all of your development regardless of where you work on node react or maybe on something else like Java or JavaScript. Whatever that is you are on to the development side so team one is on development usually sometimes testers are also included in this team. Now this team designs a product, checks out it and give affirmation to the other team. We have another team as operations. The role of this operation team is to manage all the server configuration and not just only server configuration, a couple of other things as well. This team is responsible for managing legislature application phases usually high traffic during the weekend. So how they are going to manage then do we need to scale up do we need to increase the RAM over the servers or do we need to integrate any cloud services no team a the developer team actually packs the next update whatever the feature they want to roll out next and sends it to the operations team usually developer teams think that the operation girls are just sitting around and whenever they send up these updates they're gonna just deploy them immediately but this doesn't actually happen, operation team, is also busy in managing and checking a variety of things including the scalability what kind of traffic's they are getting and some kinds of security check as well. So usually in the big application, these deployment happens. Let's just say it happens once in a month or maybe if that's a good thing that's two times a month and only those two times you can publish any code to the production level which sometimes makes a development team frustrated.

For more in-depth knowledge, you can visit What is DevOps?

In the DevOps, the development team as the operation team doesn't sit into a completely different arena. They sit together, discuss everything side by side and even sometimes exchange the roles and responsibilities so that every person knows what's happening in the operation and operation teams knows how things actually work on the development side as well. This exact mindset or say this philosophy that everybody knows about everything that's happening in the development and what's everything is happening in the operation sites. This your DevOps. In fact, the logo of the DevOps is an infinite cycle because the application development is an infinite process. It includes a variety of steps so I think the logo itself of the DevOps is an amazing thing that can define DevOps pretty perfectly. Apart from this, DevOps also focus a lot of things on the automation as well the more things are gonna be automated. Ultimately the people who are working in the development as well as some of the engineering or the operation sites as well they like to call themselves as that I'm a DevOps engineer.

In this RPA tutorial for beginners, you will learn RPA Automation and become a certified RPA professional. This RPA tutorial includes various aspects of the RPA process, architecture of RPA, various tools used in RPA, significance of UiPath tool, workflow, and Citrix automation, screen scraping, UiPath coding and debugging. Learn RPA from Intellipaat RPA Training Course and fast-track your career.

Overview of Robotic Process Automation
In this RPA tutorial or RPAv full form that is Robotic Process Automation, you will be able to get a clear idea about RPA automation, different tools in RPA, life cycle pf RPA ,how to deploy UiPath tool, Components of UiPath, UI Automation, working on UiPath Studio, UiPath coding & debugging, Screen Scraping and Citrix Automation. So, let us get started!

What is RPA?
RPA Automation is a business process automation technology based on the combination of its predecessors. It is highly dependent on screen scraping and workflow automation and it is built on Artificial intelligence. RPA full form – Robotic process automation (RPA Automation) is a type of software that is used to do automation of fundamental tasks in software applications like how a human performs it. The software robot can be educated a workflow/process with different steps & applications, for example, taking received forms, sending a receipt message, checking the forms for completeness, documenting the form in a folder and updating a spreadsheet with the form name, the date recorded, etc. RPA programming is intended to diminish the weight of monotonous, straightforward tasks/work on workers.

Table of Contents

Robotic Process Automation Introduction
Robotic Process Automation: Imagine doing repetitive and mundane tasks in your desktop every day like copy-pasting from several sources to an Excel sheet to make some data analysis or emailing a bunch of contacts at regular intervals. It will be pretty exhausting and boring to do such tasks on a monthly or yearly basis, right?

RPA Architecture
RPA Architecture: The architecture of Robotic Process Automation (RPA) is a combination of several tools, platforms, and various infrastructure elements to form a complete RPA tool. There are several blocks available in the RPA solution: Learn end-to-end RPA concepts through the RPA Course in Hyderabad and Bangalore to take your career to a whole new level!

RPA Life Cycle
Life Cycle of RPA: The life cycle of RPA doesn’t have a defined structure but, in general, there are four stages in RPA. They are: Analysis: Identification of the business process for RPA development Development: RPA Tools – Robotic Process Automation Tools TutorialRPA Tools: As RPA is slowly becoming a new dominant technology in the industry, more and more companies are getting inclined toward inculcating RPA in their back-office tasks. This has led to an exponential growth in the demand for RPA tools as well. There are various tools available in the market to implement RPA. These tools are used by organizations

RPA UiPath – What is Uipath Tutorial
What is Uipath?: In this tutorial we are majorly concentrating on RPA UiPath, it is a leading RPA platform that helps the organization to effectively automate business processes. RPA UiPath is an open platform which is easy to learn and collaborate.

UiPath Studio
Uipath Studio - User Interface: The user interface of UiPath Studio has multiple panels for easier access to specific functionalities. It can be docked, function as floating windows, or the Auto-hide option can be enabled. Have you got more queries?

Recording & Screen Scraping with UiPath
Recording with UiPath:: The recorder of UiPath enables users to record UI mouse movements, keyboard activities to generate automation scripts. The activities are recorded and generated as a sequence. You can find the record option on the Design tab. There are two types of recording known as - automatic and manual recorder. The capability of each recorder is listed below

Workflow & Citrix manipulation
How to Invoke a Workflow?: What is a Workflow? As we already saw, a workflow is a set of an individual process executed in UiPath for automating the activities. Why we need Workflows? When we are developing a large process, it is difficult to follow and test the process from top to bottom.

UiPath coding & debugging Path Coding:: An activity in UiPath is like a set of blocks in UiPath automation process. UiPath comes with various built-in Core activities. There is an option to create certain custom activities to automate processes for ease of use. There are two important steps to create a custom activity.

You can read the full RPA Tutorial here.

RPA Cheat Sheet
Introduction:: If you are a Software Developer and want to automate the business process, then RPA is of consideration. This cheat sheet will be a handy reference for you which covers all the basic concepts you need to know to start working on it You can also download the printable PDF of this RPA cheat sheet.

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What will you learn in this Salesforce training?
-Salesforce CRM software and its features
-Salesforce Cloud and Force.com platform
-Inside and outside sales and customer support
-Business logic, UI, security and data model features
-Designing portals, reports and dashboard in Salesforce
-Customizing apps, data validation and debugging
-Introduction to MVC architecture and SOQL
-Standard List Controller
-Preparing for Salesforce 201 and App Builder Certification exams

Who should take up this Salesforce training course?
Ans. Salesforce Professionals, Software Administrators, Developers, Analysts, Sales Managers and Executives can take this Salesforce course.

What are the prerequisites for taking up this Salesforce online training course?
Ans. There are no specific prerequisites for this Salesforce.com training course. Anybody can learn Salesforce through this training.

Why should you go for the online Salesforce training course?
-Global CRM market to reach $81.9 billion in six years – Grandviewresearch
-Salesforce leads the CRM market with 19.7 percent of market share – Gartner
-A Salesforce Developer in the United States can earn US$1,00,000 – Indeed
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DevOps is not just one technology but a development culture that allows us to use various tools that bring a new perspective in software development. Most beginners find it tough to choose DevOps tools for themselves and their team. To utilize the full benefits of automation, close collaboration, and synchronization, it is important to the organization to use the best tools in the industry.

Others Are Also Reading: DevOps Training Online

The biggest challenge faced by the people in the industry is to choose from the various and scattered tools. In this situation, you have to understand the main benefits of the tools and which one of them satisfies your need. Today, we have aggregated the top DevOps tools:

Git: The most popular and widely used tool in the industry works on the client-server model. This distributed SCM tool allows you to track the progress of your development team. Popular companies like Google, Facebook, Microsoft, and Netflix use Git in their CI/CD pipelines. To start with Git you need host repositories where your team members can push their work. The best repositories at the moment is GitHub and bitbucket.
Docker: The number one container platform running since 2013. Containers consist of all the applications with all of its dependencies. The isolation of applications in separate container allows it to be portable and more secure.
Selenium: This portable framework is used to test web applications. The most important cutting edge provided by selenium is its ability to generate reports without manual intervention.
Jenkins: The open-source automation server used by wide number of development teams in the software industry. It allows you to automate different stages of your delivery pipeline. Its popularity is visible by the fact that it offers more than 900 plugins which helps in the integration with almost all other DevOps Tools like Docker and Puppet.
Ansible: This automated software provisioning, configuration management, and application deployment tool is quite easy to use when compared with other tools in the list. Similar to Puppet and Chef, its lightweight solution separates it from the rest.

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Introduction on SAP Fiori
Initially, SAP customers used to complain about the static and old-fashioned look and feel of the screen. Also, SAP was only accessible via its GUI for most of the transactions. SAP decided to launch a set of applications that included the most widely used transactions like purchase order approval, sales order creation and many more.

Visit SAP Fiori Tutorial For more insights:
https://intellipaat.com/blog/tutorial/s4-hana-logistics-tutorial/introduction-to-sap-fiori/

This collection of apps is named as Fiori, which is based on the HTML5 framework. The main advantage of this is, it can be accessed across desktops, tablets, and smartphones.

What Is SAP Fiori?
SAP Fiori is a new type of user experience (UX) for SAP applications and software. Fiori provides a set of applications that can be used in regular business functions like financial apps, calculation apps, work approvals, and various self-service apps. Fiori Apps were developed by SAP, based on the user interface, UI5.
As mentioned, SAP Fiori is a new user experience which contains a collection of applications that are used in regular functions. SAP Fiori provides various role-based applications like HR, manufacturing, finance, etc. Below image depicts the concepts contained in the home page of SAP Fiori.


With respect to the designing aspects of SAP Fiori, there are five design principles that make SAP Fiori simple and easily accessible. The image that is represented below depicts these five different design principles of SAP Fiori.


• Role based: In this case, SAP transactions have been converted into a beautiful user-interactive application. This shows only the relevant information of a user.
• Responsiveness: This provides an unmatched application response and query execution time by combining SAP Fiori with the power of SAP HANA.
• Simple: To meet the user’s requirements, SAP has designed a simple scenario called 1-1-3 scenario which means: 1 user, 1 use case, and 3 screens.
• Seamless Experience: SAP Fiori provides service based on the language and does not depend on the deployment or the platform.
• Delightful:SAP Fiori can be deployed on the existing SAP system as it is designed to work with ECC 6.0.

SAP Fiori Applications
Depending on the function and infrastructure, SAP Fiori apps are classified into three categories as shown below:

• Transactional Apps
SAP Fiori includes transactional apps that are used to perform transactional tasks like manager–employee transactions. The best example is the leave request which is sent to the employer by the employee. This can be deployed with any database and can be run on any devices.
Example: Leave request, travel request, purchase order, etc.
• Analytical Apps
This is mainly used to provide real-time information about business operations. It provides real-time information from a large volume of data in the front-end web browser. Using this, one can monitor key performance indicators, KPIs. It can be deployed on SAP HANA database as well as virtual data models.
There Are Two Types of Analytical Apps:
Smart Business: SAP Fiori smart business apps are used to monitor your most important KPIs in the real time and to make changes as per market conditions, immediately.
Virtual Data Models: Virtual data models provide a way to process massive amount of well-defined facts in HANA. A UI-wealthy customer can consume these views without using any extra software.
Fact Sheets
These are used to drill down or get the key information and contextual information in business operations. One can also navigate to transactional apps to run SAP transactions. The fact sheet also has an option to integrate with geographical maps.
Example: In the vendor contract, one can drill down into further details to get the related information like vendor details, contract terms, items details, order number, etc.
Now, you might be thinking, how SAP Fiori is deployed? There are multiple ways to deploy SAP Fiori. Two of the best and efficient ways of deploying SAP Fiori are mentioned below:
• As a collection of apps with a single launchpad
• As multiple web apps

Key Benefits of SAP Fiori
• Increased productivity: As users can access data any time, any where
• Improves time value: Faster implementation and better-quality assurance
• Lower risk: As implementation is aligned with the business requirement, the amount of risk is reduced
• Reduced TCO: Lower maintenance cost and reuse of skill sets reduce the total cost to ownership
Originally published at www.intellipaat.com on September 6, 2019

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Learn Apache Spark and Scala Programming with Hadoop
Though Hadoop had established itself in the market, there were certain limitations associated with it. In the case of Hadoop, data was processed in various batches and, therefore, real-time data analytics was not enabled with Hadoop. As an added component of Hadoop, Apache Spark allows real-time data analytics including data streaming. For this reason, Apache Spark has become quite popular these days. The average salary of a data scientist who uses Apache Spark is around US$100,000.

Apache Spark is a new processing engine which is part of the Apache Software Foundation that is powering the Big Data applications around the world. It is taking over from where Hadoop MapReduce gave up or from where MapReduce started finding it increasingly difficult to cope with the exacting needs of a fast-paced enterprise.

Businesses today are struggling to find an edge and get new opportunities or practices that drive innovation and collaboration. Large amounts of unstructured data and the need for increased speed to fulfill the real-time analytics have made this technology a real alternative for Big Data computational exercises. So let’s begin with this Apache Spark Tutorial.

Check out this for ‘Apache Spark Tutorial for Beginners’:
https://intellipaat.com/blog/tutorial/spark-tutorial/

Evolution of Apache Spark
Before Spark, there was MapReduce which was used as a processing framework. Initially, Spark was started as one of the research projects in 2009 at UC Berkeley AMPLab. It was later open sourced in 2010. The major intention behind this project was to create a cluster management framework that supports various computing systems based on clusters. After its release to the market, Spark grew and moved to the Apache Software Foundation in 2013. Now, most of the organizations across the world have incorporated Apache Spark for empowering their Big Data applications.

Prepare Yourself for the interview with these Apache Spark Interview Questions:
https://intellipaat.com/blog/interview-question/apache-spark-interview-questions/

What does Spark do?
Now, in this Apache Spark tutorial, we will see what does apache spark do? Spark has the capacity to handle zetta and yottabytes of data at the same time it is distributed across various servers (physical or virtual). It has a comprehensive level of APIs and developer libraries, supporting various languages like Python, Scala, Java, R, etc. It is mostly utilized in combination with distributed data stores like Hadoop’s HDFS, Amazon’s S3, and MapR-XD. And, it also used with NoSQL databases like Apache HBase, MapR-DB, MongoDB, and Apache Cassandra. Sometimes, it is also used with distributed messaging stores like Apache Kafka and MapR-ES.

Spark takes the programs that are written in complex languages and distributes to many machines. This is achieved based on an API like datasets and dataframes built upon Resilient Distributed Datasets (RDDs).

What is Apache Spark used for?
Today, there is widespread deployment of Big Data. With each passing day the requirements of enterprises increase, and therefore there is a need for a faster and more efficient form of data processing. Most of the data is in an unstructured format, coming in thick and fast as streaming data. Here in this Apache Spark tutorial, we look at different sectors and how spark is used there.

Banking: More and more banks are increasingly adopting Spark platforms to analyze and access social media profiles, emails, call recordings, complaint logs, and forum discussions to garner insights which can aid them to take correct business decisions for credit risk assessment, customer segmentation, and targeted advertising.

E-commerce: Spark finds a great application in the e-commerce industry. Real-time transaction details can be sent to streaming clustering algorithms like K-means and collaborative filtering. The results can then be combined with other data sources like product reviews, social media profiles, and customer comments to offer recommendations to clients based on new trends.

Alibaba Taobao uses Spark to analyze hundreds of petabytes of data on its e-commerce platform. A plethora of merchants interact with this e-commerce platform. These interactions represent a large graph and Machine Learning processing on this data.

eBay uses Apache Spark to provide targeted offers, enhance customer experience, and optimize overall performance. Apache Spark engine is leveraged at eBay through Hadoop YARN.YARN manages all the cluster resources to run generic tasks. eBay Spark users leverage Hadoop clusters in the range of 2000 nodes, 20,000 cores, and 100TB of RAM through YARN.

Healthcare: Apache Spark uses advanced analytics on patient records to figure out which patients are more likely to fall sick after being discharged. The hospital can better deploy healthcare services to the identified patients saving on costs for both hospitals and patients.

Media
Many gaming companies use Apache Spark for finding patterns from their real-time in-game events. With this, they can derive further business opportunities like adjusting the game level automatically according to the complexity of the game level, targeted marketing, player retention, etc. Some media companies like Yahoo uses Apache Spark for targeted marketing, customizing news pages based on readers’ interests. They use tools such as Machine Learning algorithms for identifying the ‘readers’ interests’ category. Eventually, they categorize such news stories in various sections and keep the reader updated on timely bases.

Travel
Many people land up to travel planners to make their vacation a perfect one. And these travel companies depend on Apache Spark for offering various travel packages. TripAdvisor is one such company that uses Apache Spark to compare different travel packages from different providers. It scans through hundreds of websites to find the best and reasonable hotel price, trip package, etc.

Who can use Apache Spark?
An extensive range of technology-based companies across the globe has moved toward Apache Spark. They were quick enough to identify the real value possessed by Spark such as Machine Learning and interactive querying. Industry leaders such as Huawei and IBM have adopted Apache Spark. The firms which were based on Hadoop, such as Hortonworks, Cloudera, and MapR, have moved to Apache Spark, already.

Apache Spark can be mastered by professionals who are in the IT domain in order to increase their marketability. Big Data Hadoop professionals surely need to learn Apache Spark since it is the next most important technology in Hadoop processing. Moreover, even ETL professionals, SQL professionals, and project managers can gain immensely if they master Apache Spark. Finally, Data Scientists also need to gain in-depth knowledge of Spark to excel in their careers. So learn Spark through this Apache Spark tutorial.

Spark is extensively deployed in Machine Learning scenarios. Data Scientists are also expected to work in the Machine Learning domain, and hence they are the right candidates for Apache Spark training. Those who have an innate desire to learn the latest emerging technologies can also learn Spark through this Apache Spark tutorial.

There are multiple reasons to choose Apache Spark, out of which the most significant ones are given below:

Speed
For large-scale processing of data, Spark is 100 times faster than Hadoop, regardless of the fact that data is stored in memory or on disk. Even if the data is stored on disk, Spark will be performing faster. Spark has a world record in on-disk sorting for large-scale data.

Ease of Use
Spark has a crystal-clear and declarative approach toward a cluster of datasets. It has a collection of operators for data transformation, APIs specific to the dataset domain, or dataframes to manipulate semi-structured and structured data. Spark also has a single-entry point for applications.

Simplicity
Spark is designed in such a way that it can be easily accessible just by rich APIs. It is specially designed for quick and easy interaction in large data scale. APIs are well-documented for application developers and Data Scientists to instantly start working on Spark.

Support
As mentioned earlier, Spark programming is at very easy. Spark supports too many programming languages like Python, Scala, Java, R, etc. Through Spark progamming, it also integrates with other storage solutions based on Hadoop ecosystem, such as MapR, Apache Cassandra, Apache HBase, and Apache Hadoop (HDFS).

This tutorial gives you an insightful introduction to Apache Spark. Spark Hadoop and Spark Scala are interlinked in this tutorial, and they are compared both at various fronts. Now, we will be learning Spark in detail in the coming sessions of this tutorial. In the next section, we will discuss Apache Spark features.

Originally published at www.intellipaat.com on August 12, 2019.

Introduction to Selenium
Selenium is a free (open-source) automated testing suite for web applications that supports cross-browser and cross-operating-system interoperability. It is quite similar to HP’s QuickTest Pro (QTP, now UFT), only that Selenium focuses on automating web-based applications. Testing done using the Selenium tool is usually referred to as Selenium Testing.
Selenium is useful for testing web applications only. Neither desktop (software) testing nor the testing of mobile applications is possible with Selenium.

Watch this Selenium Tutorial Video: https://intellipaat.com/blog/tutorial/selenium-tutorial/

Selenium Types
Selenium is not just a single tool but a suite of software, each catering to different testing needs of an organization. It has four components:
Selenium Integrated Development Environment (IDE)
Selenium Remote Control (RC)
Selenium Grid
Selenium WebDriver
Now that you know about its types, let’s talk about each of them briefly.

For the complete Tutorial on selenium visit: https://intellipaat.com/blog/tutorial/selenium-tutorial/

Selenium RC (Remote Control)
Let me first tell you that Selenium Core was the first version. But with that version, testers had to install both Selenium (a JavaScript program) and the web server containing the web application being tested on their local systems so that they would belong to the same domain.
Then, another ThoughtWorks’ engineer, Paul Hammant decided to create a server that will act as an HTTP proxy to trick the browser into believing that Selenium Core and the web application being tested belong to the same domain, thus making RC a two-component tool.
Selenium RC Server
Selenium RC Client (Library containing the programming language code)
RC can support the following programming languages:
Java
C#
PHP
Python
Perl
Ruby

You must have heard the term ‘browser elements’ a number of times. The next part of this Selenium tutorial will be about these elements, and you will see how testing happens on these web elements.
What are Browser Elements?
Browser elements are different components present on web pages. The most common elements you will notice while browsing are:
Text boxes
CTA buttons
Images
Hyperlinks
Radio buttons/Checkboxes
Text area/Error messages
Dropdown box/List box/Combo box
Web table/HTML table
Frame
Testing these elements essentially means, you have to check whether they are working fine and responding the way you want them to. For example, if you are testing a text box, what would you test it for?
1. Whether you are able to send text or numbers to the text box
2. If you can retrieve text that has been passed to the text box, etc.
If you are testing an image, you might want to:
Download the image
Upload the image
Click on the image link
Retrieve the image title, etc.
Similarly, operations can be performed on each of the elements mentioned earlier. But only after the elements are located on the web page, you can perform operations on them and start testing them.
Locating Browser Elements Present on a Web Page
Each element on a web page does have an attribute (property). Elements can have multiple attributes and most of these attributes will be distinctive for different elements. Consider an example, there is a page having two elements: an image and a text box. Both these elements have a ‘Name’ attribute and an ‘ID’ attribute. These attribute values need to be distinctive for each of these elements. In other words, no two elements can have the same attribute value.
In the above example, the image and the text box can have neither the same ‘ID’ nor the same ‘Name’ value. However, there are some attributes that can be common for a group of elements on the page, like a group of elements can have the same value for ‘Class Name’.
There are eight attributes which can be used to locate elements on a web page, they are ID, Name, Class Name, Tag Name, Link Text, Partial Link Text, CSS, and XPath. Since the elements are located using these attributes, they are referred to as ‘Locators’. The locators are:
By.id
driver.findElement(By.id(“Bleep”));
By.name
driver.findElement(By.name(“Bleep”));
By.className
driver.findElement(By.className(“Bleep”));
By.tagNam
driver.findElement(By.tagName(“Bleep”));
By.linkText
driver.findElement(By.linkText(“Bleep”));
By.partialLinkText
driver.findElement(By.partialLinkText(“Bleep”));
By.css
driver.findElement(By.css(“Bleep”));
By.xpath
driver.findElement(By.xpath(“Bleep”));

When you run this file as TestNG suite, the execution will start and you will get the detailed test reports. You will get the test output in your console tab and the result of the test suite in the next tab.
You decided to use TestNG for several reasons:
1. TestNG annotations are easy-to-create test cases.
2. Test cases can be grouped and prioritized more easily.
3. TestNG supports parameterization.
4. It also supports data-driven testing using data providers.
5. It generates HTML reports.
6. Parallel test execution is possible.
7. TestNG readily supports integration with other tools and plugins like Eclipse IDE and build tools like ANT, Maven, etc.
Now, this tutorial will move on with the hands-on part. This section is divided into three parts:
Java JDK Installation
Eclipse Installation
Performing Selenium Test Case
Installing Java JDK
Step 1: Download Java JDK from the link provided below and then click on the Oracle JDK Download button
https://www.oracle.com/technetwork/java/javase/downloads/index.html

Click on the radio button, Accept License Agreement, and download the .exe file related to your OS type

Step 2: Open the downloaded execution file, and click on Next

Step 3: Select Developers Tools and click on Next, and you will be directed to the below screen. It will take a few moments to set up JDK in your system

Step 4: Click on Close to complete the set up

Before moving ahead, you need to add the environment variables to the path as follows.
Step 5: Go to local C drive > Program Files > Java > jdk-12.0.1 > bin

Step 6: Copy the path as shown above
Step 7: Go to Control Panel > System and Security > System > Advanced system settings > System Properties

Step 8: Click on Environment Variables as shown above and the below window pops up in which you will perform the following steps:
1. Click on Path in the System variables section, under Environment Variables
2. Click on Edit

Step 9:
1. Click on Browse and find your file path as local C drive > Program Files > Java > jdk-12.0.1
Keep clicking ‘OK’
2. Now, you have Java JDK installed in your system

Installing Eclipse
Step 1: Go to the Eclipse download page (the recent one is Eclipse Installer 2019–06 R), with this link: https://www.eclipse.org/downloads/

Step 2: Click on Download 64 bit. You would land on a page as shown below:

Step 3: Once the download is finished, launch the installer
Step 4: Click on Eclipse IDE for Enterprise Java Developers

Step 5: Once done, click on INSTALL

Step 6: Then, click on Launch

Now that you have successfully set up Java and Eclipse in your environment, let’s perform a Selenium Test Case using Maven.
Performing Selenium Test Case
Step 1: Start a new Maven Project

Step 2: Check the Create a simple project checkbox and click on Next

Step 3: Enter Group Id and Artifact Id and click on Finish
Group Id: Group Id is the Id of the project’s group. Generally, it is unique among an organization.
Artifact Id: Artifact Id is the Id of the project. It specifies the name of the project.

Step 4: Now, your project would appear in the Project Explorer section as shown below:

Before moving on to the scripting part, you need to configure the Maven Dependencies to perform Selenium Test Case in Eclipse. You will be adding the Maven Dependencies to the pom.xml file under the target folder.
Step 5: Now, go ahead and add the below dependencies to the pom.xml file
Note: Copy the code from below and paste it after the junit dependency which will be already present in your .xml file
<dependency>
<groupId>org.seleniumhq.selenium</groupId>
<artifactId>selenium-java</artifactId>
<version>3.141.59</version>
</dependency>

<dependency>
<groupId>org.seleniumhq.selenium</groupId>
<artifactId>selenium-server</artifactId>
<version>3.141.59</version>
</dependency>

<dependency>
<groupId>org.seleniumhq.selenium</groupId>
<artifactId>selenium-api</artifactId>
<version>3.141.59</version>
</dependency>
<dependency>
<groupId>org.seleniumhq.selenium</groupId>
<artifactId>selenium-chrome-driver</artifactId>
<version>3.141.59</version>
</dependency>

Step 6:
1. Right-click on the file name
2. Click on Properties

Step 7:
1. Select Java Build Path
2. Click on Libraries
3. Click on Add Library

Step 8:
1. Click on TestNG
2. Press Next and then Finish

Step 9: Click on the Apply and Close button
Step 10: Go to www.facebook.com, right-click on the page, and click on Inspect

Step 11: Follow the process shown below and copy the xpath of email:
1. You will use this arrow to select an element in the page to inspect it
2. Select the email web-element, which will point to the section of this web-element’s html code
3. Click on Chropath, this helps you in getting Xpaths and CSS selectors for web elements of a web page, uniquely
4. Copy the RelXpath. XPath is defined as XML path. It is a syntax or language for locating any element on the net page using XML path expression

Step 12:
1. Paste the xpath in the xpath expression (i.e., key)
2. Enter the value (email ID)

Step 13: Do the same for password xpath

Step 14: Do the same for login xpath as well

Step 15: Your code would look like this:
@Test
public class App

{
WebDriver driver;

public void test()
{
System.setProperty("webdriver.chrome.driver","C:\\Users\\intellipaat\\Desktop\\chromedriver.exe";


driver = new ChromeDriver();
//The website name you want to visit
driver.get("http://www.facebook.com");
driver.findElement(By.xpath("//input[@id='email']").sendKeys("helloworld@gmail.com";
driver.findElement(By.xpath("//input[@id='pass']").sendKeys("helloworld123";
driver.findElement(By.xpath("//input[@id='u_0_2']").click();
}
}
Note: Here, you must provide a valid email ID and password. In this example, dummy ID and password would be used.

Step 16:
1. Right-click on the screen and scroll down to Run As
2. Click on 1 TestNG Test

Step 17:
1. Once done, Chrome browser window will pop up
2. It will search for facebook.com
3. Then, it will automatically type the email
4. It will automatically type the password as well
5. It will then click on Log in and navigate you to your FB homepage

Step 18: You’ll be navigated to your FB account

Step 19: Go to Eclipse IDE again and see the console. You would see the Test report with the results

That’s it! You have successfully performed a Selenium Test Case.
Creating Automated Tests
There are three steps to execute automated tests:
Find an element on the web browser
Perform an action on that element
Test and create a test report with the results

Finding an Element on the Web Browser
An element on a web browser can be found using:
ID
Name
Class Name
Tag Name
Performing an Action on That Element
The next step is performing an action. For that you can try the following options:
Click(): Used to click on a web element
sendKey(): Used to take values into text boxes
Clear(): Used to clear text boxes of its current value
Submit(): WebDriver will automatically trigger the submit function of the web application where that element belongs to

Originally published at www.intellipaat.com on August 13, 2019.

What is SSRS?
[img]It helps to create the report using the SSRS.
[/img]Architecture of SSRS:
SSRS is a reporting platform it includes processing components.SSRS has two basics components there are
Processors: This component is used to add new functionality and it ensures the integrity of SSRS.

For the detailed SSRS Tutorial Visit:
https://intellipaat.com/blog/tutorial/msbi-tutorial/ssrs-tutorial/

Extensions: This component is raised by processors and specifies the processing functionality.

The important components of SSRS architecture are

Report Builder
Report Designer
Report Manager
Report Server
Report server database

Watch this SSRS Tutorial full course for Beginners video:
https://www.youtube.com/watch?v=wDZ7THuTA0Y

Report Builder: We can use this component easily with the drag and drop option to report design functionality. It is an ad-hoc user report publishing tool it is executed on a client computer.
Report Designer: This tool is used to develop simple and complex reports
Report Manager: We can easily access the web-based reports using this tool.
Report server: This server is used to store metadata in SQL server database
Report Server database: This is a database it stores metadata, resources, security settings, and so on.

Example: Let us consider the excel file. And to create matrix report using SSRS
If I want to see the multi-dimensional view of this data like how many sales have been done for the month of January, For India for January what were the sales? We have to report which is something like for India for the month Jan it was 1000, for India for the march there were no sales and for the USA for Feb there were no sales but in figure 1 we never saw the record, for India for the march there were no sales. Do the summation for Jan and Feb and also for India and the USA.

For the month of January, the total sales across all the country were 3041.34. For February the total sales across the countries were 890.12 and we can see the country wise also we get the sales calculation country wise. The total sales USA across all the month was 2949.46. Matrix report gives us clear information than the regular excel file like figure1. We can create a matrix report using the SQL Server Reporting system. Select the tblCustomer and it has the same kind of data which we had in our excel sheet.
Step 1: open the business intelligence studio
Click on file –> New –> project, Select Report server project wizard here and save with the name Matrixsales. Click on next, and select edit then

Select server name instance and the database is customer test connection click on next and select query designer. Right, click –> add table –> fetch data from tblCustomer –> next –> select matrix because we need to create the matrix report.

Originally published at www.intellipaat.com on August 22, 2019

What Is Microsoft Azure?
Forbes says that Microsoft Azure is set to boost the size of the IT market by $10 trillion in the next 10 years! But what is Azure? Azure is just another set of cloud services that is used to construct, establish, and manage applications through Microsoft’s globally distributed network of data centers. It’s an elastic platform, that can be used to run applications on the cloud or simply improve the current applications with cloud capabilities.
What Is Microsoft Azure?
Did you know that almost 95% of 500 Fortune companies are using Azure? Also, Azure is 5 times cheaper than AWS in terms of Windows and SQL server. You would have wondered about questions like what is Microsoft Azure, and how is it better, etc while choosing your cloud service provider. Well, you are in the right place because we will be tackling such questions in this blog.

Microsoft Azure was announced in October 2008 and released on February 1, 2010, as Windows Azure first and later renamed as Microsoft Azure on 25 March 2015. In today’s scenario, Microsoft Azure’s reach is in 140 countries and is still expanding which is pretty impeccable.

Before going ahead with ‘what is Microsoft Azure’ blog, it is suggestible that your Cloud Computing concepts are clear. For in-depth knowledge of Cloud Computing, please refer to this blog: Introduction to Cloud Computing.

Before moving on with our blog on ‘what is Microsoft Azure’, if you like to watch videos, check this Intellipaat Microsoft Azure Full Course video :

Watch this Azure video by Intellipaat:
https://www.youtube.com/watch?v=8_0qGTdHZSs&feature=youtu.be

In this blog, we will be answering questions starting from ‘what is Microsoft Azure?’ to ‘How to become a professional in Azure?’.
In case you want to go ahead with a specific topic, here are the topics that will be discussed in this blog:

What Is Microsoft Azure?
AWS Vs. Azure Vs. Google Cloud
Microsoft Azure Architecture
Microsoft Azure Services
Advantages of Choosing Microsoft Azure
Microsoft Azure Login and Azure Pricing
Azure Jobs
Microsoft Azure Certification
So, let us begin with the definition first, which I am going to talk about in the section below.

What is Microsoft Azure?
Azure was created in 2010 by Microsoft to provide cloud services where users could build, test, deploy, and manage their applications on data centers of Microsoft. These data centers have been spread across 54 global regions. Microsoft offers various services across multiple domains such as Compute, Database, Content Delivery, Networking and many more.

Let us now move on, and deep-dive into Microsoft Azure. Let us start by analyzing the other Cloud Providers.

Want to read more about Azure? Go through this Azure Tutorial:
https://intellipaat.com/blog/what-is-microsoft-azure/

AWS Vs. Azure Vs. Google Cloud
To understand what is Microsoft Azure, we must also know about other cloud platforms such as Amazon Web Service (AWS) and Google Cloud Platform. Without going into details, let us just compare them to avoid confusion.

Azure vs AWS vs GCP-What is Microsoft Azure-Intellipaat
Here are some of the differences between the three cloud service providers.

AWS Microsoft Azure Google Cloud Platform
12 years old 7 years old 6 years old
Amazon S3 is mostly used for secondary backup
Backup is built into Azure
Does not provide any backup
Gives managed virtual tape infrastructure across hybrid environments
Enterprise-grade hybrid cloud storage
It relies on partners like Egnyte
Dominant market position
Second largest provider
Recently launched and new
Pricing is per hour Pricing is per minute Pricing is per minute
Cloud Computing is in its nascent stage, and therefore there is a lot of scope to grow in this area as a professional with the right certification and the right platform.

Azure holds the largest market share, after AWS. With the extensive use of AWS, there are many professionals who already have mastered it and the job market for AWS has now become saturated. On the other hand, opting for Google Cloud would not help you much, since most of the Fortune 500 companies are not on Google Cloud right now. Hence, the number of jobs available for Google Cloud is comparatively less. Being in the middle ground, getting certified as an Azure Professional is going to be a strategically good choice.

Now that we know learning Azure is the right thing to do, let’s move on in this ‘what is Microsoft Azure’ blog and learn how Azure actually works by discussing the Microsoft Azure architecture.

If you have any doubts or queries related to Azure, do post on Azure Community.

Microsoft Azure Architecture
Let us try to understand, Microsoft Azure Architecture by the diagram given below:

Microsoft Azure Architecture-What is Microsoft Azure-Intellipaat
Image source: Mastering Cloud Computing, a book authored by Rajkumar Buyya

AppFabric is the middleware which comprises of services such as compute, storage, networking, and identity management. Azure is hosted within Microsoft data centers and is accessible from Microsoft Azure Management Portal. Next, let’s talk about the middleware in detail below, as services.

Let us now explore some of the services that are provided by Microsoft Azure in the segment below.

Microsoft Azure Services
By now, you might be having a rough idea about the entire cloud services and what is Microsoft Azure. Let us deep-dive into the Azure services.

Azure Services-What is Microsoft Azure-Intellipaat
There is an endless list of services that Microsoft Azure provides you with. We will be focusing on all the important services which are frequently asked in the certification exams.

For better understanding, let’s categorize them into domains as follows:

Azure Compute
Azure Networking
Azure Storage
Azure Database
If you have any doubts or queries related to Azure, do post on Azure Community.

Azure Compute
It gives the products that are of building level which determines the execution of an application deployed in the Azure platform. Following are the different services that Azure provides:Azure Compute-What is Microsoft Azure-Intellipaat
Azure Virtual machine: it is an environment that allows the user to have a similar experience as that of while using dedicated hardware.

Azure Virtual machine set: they are used to create thousands of identical virtual machines in a jiffy.

Azure container service: containers are packages that do not need virtual machines and instead depend on virtual isolation to run applications that have shared OS kernel. And Azure container service creates a container hosting solution.

Azure container registry: is used to store and manage container images

Azure Functions: it doesn’t have a server and lets you run code-on-demand without infrastructure.

Azure Batch: it is used to scale N number of virtual machines at a time.

Azure Service fabric: it is a distributed platform that simplifies the deployment and lifecycle management of a small service-based application.

Azure Cloud services: focuses on apps and support Java,Node.js, PHP, Python, .Net, and Ruby.

Web Apps: creates and deploys web apps at scale very quickly.

Azure Mobile app: building and hosting backend for any application on mobile.

API Apps: is used to build cloud APIs easily.

Azure Search: provides search-as-a-service which is fully managed.

Notification hubs: used to send push notifications to any platform from any backend easily.

Azure Logic Apps: it is a cloud service that will help you in automating workflows, business processes, etc.

Azure Event hub: a collection of events that can be stored.

Azure Networking
These networks allow enterprises to safely connect to their cloud resources through Azure ExpressRoute. It is also used to manage private virtual networks and, further, create multiple virtual networks.Azure Networking-What is Microsoft Azure-Intellipaat Azure Virtual network: it performs network isolation and segmentation with filters which routes the traffic. It comprises of Azure Connect which allows easy setup of IP-based and Azure Traffic Manager.

Azure Load Balancer: it balances a load of traffic going to virtual machines and isolates the external traffic to another virtual machine

Azure Traffic Manager: provides load balancing features.

Azure Express Route: it is a network that lets you extend the current network into Microsoft cloud over a private connection.

Azure DNS: it translates a website to IP address

Content delivery network (CDN): it helps in improving delivering of content and allows the streaming of content by using the location of 24 different locations that are distributed throughout the world.

Azure VPN gateway: it sends encrypted traffic across a public connection

Azure Storage
Azure storage provides storage solutions that are more durable and You can build large-scale applications, and still scale higher if needed, and it automatically balances the data based on traffic.Azure Storage-What is Microsoft Azure-Intellipaat
Azure Blob storage: Azure follows storage in terms of binary large objects (BLOBs) with blob service. It gives users the ability to describe their data by adding metadata.

Azure Queue storage: it allows applications to communicate via the exchange of messages on a queue hence it avoids lost or unprocessed messages.

Azure File storage: it offers file sharing in the cloud using standard protocol.

Azure Table storage: it stores semi-structured NoSQL data in the cloud.

Azure Database
Azure Database is a relational database-as-a-service that is reliable and secure, and it gives high performance without having to worry about any infrastructure.

Azure Database-What is Microsoft Azure-Intellipaat
Azure SQL Database: is a relational database hosted in Azure and built on SQL server technologies. It provides scalable, highly available and fault-tolerance database

Azure DocumentDB: is a NoSQL database-as-a-service whose features are a transactional process over no schema data, rich querying and query processing and transaction semantics that are similar to the relational databases.

Azure Redis Cache: is a data structure that implements a key-value database with optional durability.

So, those were the services of Azure but there is a lot to it. Coming back to our question, what is Microsoft Azure, let us see why companies are opting for Azure, in the next section.

Microsoft Azure Features
Now that we know exactly what is Microsoft Azure, let us see what its features are.

Azure features-What is Microsoft Azure-Intellipaat
Disaster Recovery: Since data is not stored on a single physical computer and instead it is present in different geographical locations, it will be much safer in the time of disasters. Even if one location undergoes some natural calamity, other locations are not harmed, and hence your data is safe.
Security: Azure is continuously updated and that makes it secure. Security Development Lifecycle makes sure that every development phase is safe and secure.
Flexibility: With Azure, you can scale your storage capacity. Recently, Azure even gave updates on its increased flexibility in terms of virtual machine size. These reserved instances can decrease the Cloud Computing cost.
Cost: Using physical hardware for the deployment of applications comes up with emptying your pockets. Training people on how to work with it requires a lot of time and money. In this fast-paced technological world, there is huge competition. And if you take time in delivering the final product, it is obvious that your business will foresee a huge loss. Azure is the solution to all those problems as it is cheap in terms of hardware and manpower.
Now that you are aware of Microsoft Azure’s services and features, let us dive into how to log in to Microsoft Azure.

Microsoft Azure Login
Moving along in this ‘what is Microsoft Azure’ blog, let us see, how you can create a free account in Microsoft Azure. On successful signup, you get Rs.13,300 credit in your Microsoft Azure free-tier account, and 25+ free services for a lifetime.

Below are the steps of creating your own Azure free trial account:
1. Go to https://www.azure.com and click on the green Start free button
Azure login-What is Microsoft Azure-Intellipaat
2. Again, click on the Start free buttonAzure Free account-What is Microsoft Azure-Intellipaat
3. If you already have a Microsoft account, enter your credentials and log in.azure sign in-What is Microsoft Azure-Intellipaat
4. You will need to verify your account via phone SMSAzure verification-What is Microsoft Azure-Intellipaat
5. Provide your valid credit/debit card details, but you won’t be charged.Azure account details-What is Microsoft Azure-Intellipaat
6. Next, tick on I agree and click on Sign Up. Within a few seconds, your account will be ready. Here is your dashboard.Azure portal dashboard-What is Microsoft Azure-Intellipaat

Azure Pricing
Azure gives the most amazing pocket-friendly plans for your Infrastructure on Azure.

Azure Pricing is offered in the following three forms:

Pay as you go
Spot Pricing or Low Priority VM
Azure Reserved Instances
Let us understand them one by one:

Pay as you go: It is as simple as it sounds, you pay only for what you use. For example: Let’s say you use a 64GB RAM machine with 8 CPU cores for 45 minutes. You will just be charged for 45 minutes, nothing more nothing less. Want to hear something cool? The pricing for the machine similar to this spec is as low as, 61 rupees or 0.8 US dollars an hour.

Spot Pricing or Low Priority VM: You can avail up to 70% discount on the standard pricing of Azure by using this pricing option. How? Azure has a lot of servers under the hood, sometimes because of low demand these servers can go idle, and for this very reason, Azure gives them at discount to users, which can up to 70%. Seems too good to be true? There is a catch though, the moment demand goes up for these servers, they will be taken away from you i.e let’s say you took a Low Priority VM for 0.2 dollars an hour. The moment somebody bids a higher amount on that VM, it will be taken away from you. This kind of pricing is helpful when you are working on tasks that require processing, but they are not urgent. Therefore you do not mind, them being taken away from you.


Azure Reserved Instances: With Azure Reserved Instances you can avail a discount of up to 70% on standard Azure pricing. How? Well, unlike Low Priority VMs, this kind of pricing is for workloads, which are extremely important and require constant processing. The way it works is, you commit to Azure that you will be using a particular VM for let’s say 2 years. This way, Azure gives you an upfront discount up to 70% which can vary based on the commitment time. But, you cannot withdraw the VM mid-term. Once you have committed you will use the VM for a particular amount of time, you will be billed for the time that you committed for, even though you are not using it.

Want to see how the prominent services of Azure are priced? I have tried to put forth the pricing options for the major services down below:

Component Price (in dollars) Free Services
App Service 0.01336/hour Free for the first 12 months
Virtual Machines 0.01118/hour Free for the first 12 months
SQL Databases 0.02081/hour 250 GB free for the first 12 months
Blob 0.01895/GB 5 GB free for the first 12 months
Azure Container Service 0.01118/hour Free for the first 12 months
Functions 0.2053/1 million executions 1 million requests/month always free
It must be clear to you by now, what is Microsoft Azure and how fast Azure is growing. So why not see some job prospects in this field?

Azure JobsAzure job-What is Microsoft Azure-Intellipaat
Image source: https://www.businessinsider.com/

Cloud is growing each day and so are the platforms that provide cloud-based services.

The average salary of an Azure Architect is about Rs.3,046,000–3,327,00 annually, in India.
While the basic pay scale for a Cloud Developer is up to Rs.2,000,000–3,000,000, an Azure Administrator’s average salary is about Rs.1,200,000–1,900,000.
There are 16,000+ openings as of today globally, and this is 5,000+ in India! With the majority of the companies shifting to cloud services, the number of jobs in this field is going to increase.
We have almost reached the end of this blog and it must be crystal clear to you about what is Microsoft Azure and all its advantages in terms of services it offers, job market, etc. Isn’t it going to help, if you learn and gain expertise now? Getting certified as a cloud professional, especially as an Azure professional, will give your career a new edge.

If you have any doubts or queries related to Azure, do post on Azure Community.

Microsoft Azure Certification
Microsoft has become popular worldwide. It has managed to set a benchmark for all its certifications, and it is also making sure to deliver the best cloud servicing platforms.

Azure certification-What is Microsoft Azure-Intellipaat
Further, there are three roles in Azure cloud services. They are:
Cloud Administrator
Cloud Developer
Cloud Solutions Architect
Want more information about Azure Certification? Read this blog on Microsoft Azure Certification & Training Guide

Azure Administrator
Azure administrator badge-What is Microsoft Azure-Intellipaat
This certification is basically for beginners. With this certification, Microsoft aims to help the candidates learn and acquire knowledge and skills about basic cloud concepts and core Azure fundamentals.

There have been few updates on this certification. Instead of appearing for the exams AZ-100 and AZ-10, fromMay 1 2019, there will only be one exam that you need to pass:
AZ-103: Microsoft Azure Administrator
Azure Developer
Azure Developer Badge -What is Microsoft Azure-Intellipaat
This certification is recommended only if you’ve been in the cloud servicing industry for at least 2–3 years. With this certification, Microsoft aims to help the candidates learn all skills required in the development domain such as designing or building cloud-based applications. To achieve this certification, you will need to clear the following exam:

Exam AZ-203: Developing Solutions for Microsoft Azure
Azure Architect
Azure Solutions Architect - What is Microsoft Azure-Intellipaat
This is the first role-based certification that is launched for the expert level. With this certification, Microsoft aims to help the candidates learn the most advanced Azure skills, along with learning to design secure, reliable, and scalable solutions for businesses. After this certification, a candidate is expected to have gained expertise in compute, network, security, and storage. To achieve this certification, you will have to pass the following exams:

Exam AZ-300: Microsoft Azure Architect Technologies
Exam AZ-301: Microsoft Azure Architect Design
If you have taken up Exam 70-535: Architecting Microsoft Azure Solutions, then you need to go for the following exam to get certified:

Exam AZ-302: Microsoft Azure Solutions Architect Certification Transition
Now that you know what is Microsoft Azure and the steps involved in getting certified, I am sure, it will be a game changer altogether.

Originally published at www.intellipaat.com on August 23, 2019

Machine Learning Tutorial: What is Machine Learning?
Seems like you would have stumbled upon the term machine learning and must be wondering what exactly it is. Well, this machine learning tutorial will clear out all of your confusion!

Machine Learning Tutorial Video: https://youtube.com/watch?v=4gqZLajDWh8&feature=youtu.be

Machine learning is a field of artificial intelligence with the help of which you can perform magic! Yes, you read it right. Let’s take some real-life examples to understand this. I believe all of you must have heard of Google’s self-driving car. A car which drives by itself without any human support; that is just amazing, isn’t it?

Self-Driving-Car-Intellipaat
Now, how about virtual personal assistants such as Apple’s Siri or Microsoft’s Cortana? If you ask Siri what is the distance between Earth and Moon, it will immediately reply that the distance is 384,400km.

Virtual-Assistants-Intellipaat
You also must have used Google maps. If you want to go from New Jersey to New York via road, google maps will show you the distance between these two places, the shortest route and also how much traffic is there along the road.

Map-Intellipaat
Now, you would agree with me that all of these are some magical applications, and the magic behind these applications is machine learning. So, simply put, machine learning is a sub-domain of artificial intelligence, where a machine is provided data to learn and make insightful decisions.

Watch this complete Machine Learning Tutorial: https://intellipaat.com/blog/tutorial/machine-learning-tutorial/

Now, that we have understood what is machine learning, let’s go ahead in this machine learning tutorial and look at the types of machine learning algorithms:

Supervised Learning
Unsupervised Learning
Semi-supervised Learning
Re-inforcement Learning
Now, let’s go ahead and understand each of these machine learning algorithms comprehensively.

Machine Learning Tutorial: Supervised Learning
In supervised learning the machine learns from data which is labelled i.e. the result for the input data is already known or in other words you can say that there is an input variable and an output variable in supervised learning and we have to map a function between the input and the output. Here the input variable is known as independent variable and the output variable is known as dependent variable.

Let’s take this example to understand supervised learning in a better way.

So, this is an apple, isn’t it? Now, how do you know, it’s an apple? Well, as a kid, you would have come across an apple and you were told that it’s an apple and your brain learnt that anything which looks like that is an apple.

Now, let’s apply the same analogy to a machine. Let’s say we feed in different images of apples to the machine and all of these images have the label “apple” associated with them.

Similarly, we will feed in different images of oranges to the machine and all of these images would have the label “orange” associated with them. So, here we are feeding in input data to the machine which is labelled.

So, this part in supervised learning, where the machine learns all the features of the input data along with it’s labels is known as ‘training’.


Once, the training is done, it will be fed new data or test data to determine, how well the training has been done.

So, here, if we feed in this new image of orange to the machine without it’s label, the machine should be able to predict the correct label based on all of its training.

This is the concept of supervised learning, where we train the machine using labelled data and then use this training to find new insights.

Regression
Classification
Moving on in this machine learning tutorial, we will understand these two comprehensively.

Regression
Since Regression is a supervised learning algorithm, there will be an input variable as well as an output variable and the point to keep in mind is that the output variable is a continuous numerical, i.e. the dependent variable is a continuous numerical.

Let’s take this example to understand regression:

Let’s say you have two variables, “Number of hours studied” & “Number of marks scored”. Here we want to understand how does the number of marks scored by a student change with number of hours studied by the student, i.e. “Marks scored” is the dependent variable and “Hours studied” is the independent variable.

student-Intellipaat
Now, based on this data, I want to know for how many hours should a student study to score exactly 60 marks. So, this is where regression techniques come in. The regression model would understand that there is an increment of 10 marks for every extra hour studied and to score 60 marks the student has to study for 6 hours.

You need to note that “marks scored” is the dependent variable and it is a continuous numerical.

So, this is how regression algorithms work. Now, let’s move onto the next type of supervised learning algorithms which are classification algorithms.

Classification
Classification algorithms also need both the input data as well as the output data. Here, the output variable or the dependent variable should be categorical in nature.

Let’s take this example to understand classification.

Consider these three variables, “Person has lung cancer or not”, “Weight of the person”, “Number of cigarettes smoked in a day”. Here, we want to understand does the person have lung cancer based on the weight of the person and the number of cigarettes he/she smokes in a day, i.e. “Having lung cancer” is the dependent variable and “weight” and “No of cigarettes smoked” are the independent variables.

cancer-Intellipaat

Again, you need to note here that “Having lung cancer” is a categorical variable, which has two categories, “yes” and “No”. Based on the independent variables, we classify whether the person has lung cancer or not.

Now, there are a variety of classification algorithms available such as:

Decision Tree
Random Forest
Naïve Bayes
Support Vector Machine
Let’s go ahead and understand one of these algorithms -> “Decision Tree”.

Decision Tree Classifier
Decision tree is a very popular machine learning classifier. So, a decision tree as the name states, has an inverted tree like structure. The top most node in the tree is known as the root node and the nodes at the bottom of the tree are known as the leaf nodes. Every node has a test condition and based on that test condition, the tree splits into either it’s left child or right child.

Let’s go through this example on decision tree. Here, we are trying to determine whether a person would watch the movie “Avengers” based on a series of test conditions.

Decision-Tree-Intellipaat
Here, the test condition on the root node is “likes action films”, so, if it evaluates to true, you go to the left child, else to the right child. Now, if you actually do like action films, then on the left child, there is another test condition, “Movie length greater than 2 hours”, so, if this evaluates to true, you go again go the left child, i.e. you are fine watching a movie which is greater than 2 hours. Again, when you go to the left child, there is another test condition, “Likes Robert Downey Jr”, and if this evaluates to true, it means that the person is interested to watch “Avengers”. So, this is how a decision tree classifier works.

Now that we have understood what exactly is supervised learning, let’s move ahead in this blog on machine learning tutorial and understand unsupervised learning.

Unsupervised Learning
In unsupervised Learning the machine learns from unlabeled data, i.e. the result for the input data is not known beforehand. Here, the algorithm tries to determine the underlying structure of the data.

Now, let’s go through this example to see how does unsupervised learning work.

Here, we have a bunch of fruits and none of these fruits have labels associated with them. Now, let’s take these fruits and feed them to an unsupervised learning model. So, the model determines the features associated with the data and understands that all the apples are similar in nature and thus groups them together. Similarly, it understands that all the bananas have the same features and thus group them together and same is the case with all the mangoes.

So, you need to understand that, even though there are no class labels associated with the data, the model was able to group them into different clusters on the basis of similarity of the data.

These are some unsupervised learning algorithms:

K-means clustering
Hierarchical Clustering
Principal Component Analysis
Further in this machine learning tutorial, we go through the next type of machine learning algorithm – Semi-supervised learning.

Machine Learning Tutorial: Semi-Supervised Learning
In semi-supervised learning the machine learns from a combination of labelled and unlabeled data, i.e. you can consider semi-supervised learning to be an amalgamation of both supervised learning and unsupervised learning.

Let’s go through this example. Here, we have a bunch of different items -> phones, apples, books and chairs. Now, as you see over here, only a minor proportion of the items are labelled and the rest are unlabeled. Here, the basic idea is to start off by grouping similar data together. So, all the phones would be put into one group, apples into another and same is the case with books and chairs.

Now we have four clusters containing similar data in them. Here, the algorithm assumes that all the data points which are in proximity tend to have the same label associated with them. Now, the semi-supervised algorithm uses the existing labelled data to assign labels to the rest of the unlabeled data.

So, this is the underlying concept of semi-supervised learning. Now, in this machine learning tutorial, let’s head onto the final type of machine learning algorithm, which is re-inforcement learning.

Re-inforcement Learning
In re-inforcement learning the algorithm learns through a system of rewards and punishment and the goal here is to maximize the total reward. So, let’s go through this example to understand re-inforcement learning.

CAR-1-Intellipaat
So, here we have a self-driving car which is supposed to reach its destination without hitting any barricades. So, here, the self-driving car is the agent and the road is the environment.CAR-2-Intellipaat
Now, the car takes an action and goes straight, but when it goes straight, it directly hits the barricade. Now, since the car has taken a wrong action, it will be punished.

CAR-3-Intellipaat
So, the car realizes that going straight is wrong and it has to go right. So, when it goes right, it will be given a reward. So, this process continues and the car learns how to drive by itself without hitting any barricades.

And this brings us to the end of this “Machine Learning Tutorial”. We comprehensively understood what is machine learning and then we looked at the types of machine learning.

Now, if you are interested in doing an end-to-end certification course in Machine Learning, you can check out Intellipaat’s Machine Learning Course with Python.

Originally published at www.intellipaat.com on August 26, 2019.

Introduction to Salesforce
Let’s start off with this Salesforce tutorial with a brief introduction which will help you learn Salesforce in a better way. As customers have become the pivot around which the growth of a company revolves, it has become extremely important for companies to deploy apt CRM software solutions. However, customer requirements being diverse, most companies do not find a suitable CRM solution that best fits their needs. In this situation, Salesforce has emerged as a market leader. With flexibility and reliability as its primary features, Salesforce is most likely to continue dominating the market place in the years ahead.

Before moving forward in this Salesforce tutorial, watch this video on ‘Salesforce Tutorial for Beginners:

https://www.youtube.com/watch?v=rgbqnFFHS5k

If you’re a developer, you know the pain of following so many code components in order to create an application. Well, Salesforce comes to your rescue here! In this Salesforce Developer tutorial, you’ll learn Salesforce so as to make your understanding perfect! With Salesforce, you can create applications in just a few days or a few weeks and make them visible to as many clients as you want with the customizations provided. Isn’t it amazing? By the end of this Salesforce Developer tutorial, you’ll start to love everything about Salesforce.


Watch this Salesforce Tutorial for more insights:
https://intellipaat.com/blog/tutorial/salesforce-tutorial/

Here are the topics that will be discussed in this tutorial:

Cloud Computing
Infrastructure as a Service
Platform as a Service
Software as a Service
Difference Between the Services and Components Managed by IaaS, PaaS, and SaaS
Why learn Salesforce?
Traditional CRM vs Salesforce CRM
Problems with Traditional Software Methodology or Legacy Platforms
Why is Salesforce gaining popularity?
So, read on!

But the question here is how does Salesforce work to provide its customers with a platform like this? Well, Salesforce works on the cloud. It is basically a cloud-based platform which provides tools to its clients for building an application or provides a platform to its clients wherein businesses can use its products.

Before we get deeper into Salesforce, let’s first see what Cloud Computing is.

Cloud Computing
So, what is Cloud Computing? Cloud Computing is basically referred to as Internet-based computing which involves shared resources, information, and software which has been provided by computers and mobiles.

In other words, a cloud is a unique place where you can store as much data you want to make it accessible from anywhere in the world with just an internet connection and a device to access it. Instead of storing the data on your device, uploading it onto the cloud and then viewing it from some other place, is called accessing the cloud.

Talking about the types of Cloud Computing platforms, there are three types of cloud services available:

Infrastructure as a Service (IaaS)
Software as a Service (SaaS)
Platform as a Service (PaaS)
Services in Cloud Computing
Infrastructure as a Service
When a cloud service provider uses Infrastructure as a Service or (IaaS), they mostly concentrate on infrastructural services such as a server, hosting, storage services, etc.

Salesforce doesn’t use Infrastructure as a Service as there is no need for installing any software or hardware program. Instead, all the apps and data are stored securely onto the cloud. You also don’t need to take any back up as the cloud takes care of it automatically.

Platform as a Service
Platform as a Service provides a platform for its customers to develop and deploy apps. You can customize this according to your business needs. Users need to just manage their data and application resources. PaaS is basically used by developers. The provider basically takes care of the underlying infrastructural parts and you are given predefined tools using which you can build your own application.

Software as a Service
Software as a Service or SaaS is a software delivery model in which the software is licensed on a subscription basis and is hosted centrally.

Salesforce uses Software as a Service as there is no need for installation, downloads or setups, you just need to login to your Salesforce account and start using your subscribed apps over the cloud. It is way more convenient for you isn’t it?

Difference Between the Services and Components Managed by IaaS, PaaS, and SaaS
Difference between SaaS, IaaS, PaaS
Salesforce uses PaaS (Platform as a Service) and SaaS (Software as a Service). Let’s now see why should we learn Salesforce.

Why learn Salesforce?
This Salesforce tutorial begins with a discussion on why you need to learn Salesforce. Basically, Salesforce started off as a Software-as-a-Service (SaaS) company providing the Customer Relationship Management (CRM) platform on the Cloud.

Along with SaaS, now, it also provides the Salesforce platform to its clients wherein you can create your own application called Platform-as-a-Service (PaaS). Though Salesforce earns the most by PaaS, SaaS is also used by many Fortune 500 companies.


Traditional CRM vs Salesforce CRM
CRM is considered to be the most efficient technique to create relationships among customers. It can be used to target contacts, leads, and opportunities. You can also use the CRM software for dealing with tracking, product planning, manufacturing, and shipping.

Traditional CRM Salesforce CRM
Hosted on a company’s own server Hosted on the Cloud
Difficult to understand and use Easy to understand and use
Takes months or even years to set up Can be set up in a few days or weeks
Requires overall higher cost Requires overall lower cost

Problems with Traditional Software Methodology (Legacy Platforms)
In the traditional software methodology, to create an application, developers had to follow these steps:
Formation of an idea for building an application
Buying and setting up hardware
Installing software
Defining users and providing them with different accesses
Setting up means for reporting and analytics
Building security around the application
Making it mobile phone accessible and social
A usable application is created! Although, the whole process is tedious and time-consuming. It generally takes 6–12 months of time.
Problems with Traditional Software Methodology or Legacy Platforms
To solve this problem, Salesforce came into the picture and became popular. With Salesforce, the developer isn’t worried about buying and setting up the hardware, installing the software, defining users, setting up means for reporting and analytics, building security around the application, and making it mobile phone accessible and social. As with Salesforce, all of these code components come as a single package.
Problems with Traditional Software
Developers can go ahead and create an application and release it to their clients. As they don’t need to worry about any of the core components, Salesforce has gradually increased their productivity. Now, they can straightaway build the application on the platform provided to them by Salesforce and release it onto the Cloud.

Why is Salesforce gaining popularity?
It is quite evident from the graph how Salesforce has topped the Magic Quadrant leaving behind Microsoft and Oracle.

Though the cost is more, Salesforce provides the best user-friendly interface as compared to any other CRM software. Salesforce is the number one CRM tool being used around the world. It offers an entire range of applications that can be very useful in lead generation and improving sales and deal closure. Along with that it also helps in the marketing domain, customer service, analytics, and many other applications.

Reasons why Salesforce is gaining so much popularity:
Scalability and customization
Multi-tenant architecture
Partner ecosystem
Data security
Continuous enhancing of the application and platform

Recommended Audience
This Salesforce tutorial is beneficial for anybody who want to learn about CRM. Software Developers, Administrators, Cloud Computing Professionals, and Project Managers can learn and benefit from this Salesforce tutorial.

Originally published at www.intellipaat.com on August 20, 2019

This Artificial Intelligence tutorial gives you an introduction to AI right from the basics. We shall be covering Machine Learning, Deep Learning and various application areas of AI, Python, various packages available in it, Tensorflow, Keras, Neural networks, Multilayer perceptron, Convolution neural networks, Recurrent neural networks, Long short term memory and OpenCV.

What are the Goals of AI?
To create machines which can do better performance than the previous version.
To add new features which human possess.
Watch this Artificial Intelligence Tutorial for Beginners video

But what is Artificial Intelligence?
Artificial Intelligence is all around us. Artificial Intelligence creates a higher degree of efficiency and productivity by automating the repetitive task and creating immersive and responsive experience and understanding human sentiments and even emotions.
This Artificial Intelligence tutorial will help you master AI by taking you through a step-by-step approach while learning AI and Machine learning concepts.

AI is able to think like the way we humans do, is able to solve problems without the explicit inputs form us, can deal with abstract concepts like ideas, and this technology is truly at attempt to understand randomness and creativity.

Artificial Intelligence Course:
https://intellipaat.com/blog/tutorial/artificial-intelligence-tutorial/

Audience
This Artificial Intelligence tutorial has been prepared to help you learn Artificial Intelligence the right way and is meant for the beginners as well as for the professionals to help them in understanding basic-to-advanced concepts related to AI. This Artificial Intelligence tutorial will help you in understanding about AI from where you will be able to take yourself to a higher level of expertise when you learn Artificial Intelligence from this tutorial.

AI Tutorial Video:

https://www.youtube.com/watch?v=W7N6LPp0SmY

Prerequisites
Before going through this tutorial you should have a fundamental knowledge of information technologies such as Computers, Internet and basic working knowledge on Data. Such basic concepts will help you in understanding the AI concepts in a better way and will move you faster on the learning track. If you will to preparing for Prepare.

Yourself with Top Artificial Intelligence Interview Questions:
https://intellipaat.com/blog/interview-question/artificial-intelligence-interview-questions/

Artificial Intelligence Training
This AI Tutorial covers Introduction of AI, History, Goals, Application areas, AI vs ML vs DL, Python and its installation, various data science packages, installation of python and keras, tensorflow objects, Artificial Neural networks, Multilayer perceptron, problem of overfitting, underfitting, Convolution neural networks, Recurrent neural networks, Long short term memory, OpenCV and GAN.

This Python tutorial will help you learn Python and build a career in this top programming language. Through this tutorial, you will learn Python basics, its salient features, basic syntax, variable types, operators, functions, modules, and more.

Also refer to the Python tutorials for more insights: https://intellipaat.com/blog/tutorial/python-tutorial/
You will also understand what exception handling is, how to access database, Python classes and loops, and ultimately how to write Python codes. Learn Python from Intellipaat Python Certification course and excel in your career!

Prepare Yourself for the interview with these Python Interview Questions:
https://intellipaat.com/blog/interview-question/python-interview-questions/