Hadoop/Big Data Realtime online training, job & interview support by hands-on Professionals


Big Data Hadoop training makes you an expert in real-time implementation of Hadoop Frameworks and helps you clear Cloudera CCA Spark and Hadoop Developer Certification ( CCA175). You will master Hadoop 2.7, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark ..etc along with Hadoop Administration.


FOR FREE DEMO contact :
Email : raj@apex-online-it-training.com
Phone/WhatsApp : +91-(850) 012-2107
USA Number : 214-628-3894
Gtalk : raavi.sriraja@gmail.com
Blog: http://apex-it-online-trainings..in
Website: www.apex-online-it-trainings.com


Hadoop Interview Questions and Answers, Recorded Video Sessions, Materials, Interviews,Assignments Will be provided


HADOOP COURSE AGENDA
(the course content can be modified as per your requirements):


Introduction:-
• Big Data Introduction
• Hadoop Introduction
• What is Hadoop? Why Hadoop?
• Hadoop History?
• Different types of Components in Hadoop?
• HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on…
• What is the scope of Hadoop?

Deep Drive in HDFS (for Storing the Data):-
• Introduction of HDFS
• HDFS Design
• HDFS role in Hadoop
• Features of HDFS
• Daemons of Hadoop and its functionality
• Name Node
• Secondary Name Node
• Job Tracker
• Data Node
• Task Tracker
• Anatomy of File Wright
• Anatomy of File Read
• Network Topology
• Nodes
• Racks
• Data Center
• Parallel Copying using DistCp
• Basic Configuration for HDFS
• Data Organization
• Blocks and
• Replication
• Rack Awareness
• Heartbeat Signal
• How to Store the Data into HDFS
• How to Read the Data from HDFS
• Accessing HDFS (Introduction of Basic UNIX commands)
• CLI commands

MapReduce using Java (Processing the Data):-
• Introduction of MapReduce.
• MapReduce Architecture
• Data flow in MapReduce
• Splits
• Mapper
• Portioning
• Sort and shuffle
• Combiner
• Reducer
• Understand Difference Between Block and InputSplit
• Role of RecordReader
• Basic Configuration of MapReduce
• MapReduce life cycle
• Driver Code
• Mapper
• and Reducer
• How MapReduce Works
• Writing and Executing the Basic MapReduce Program using Java
• Submission & Initialization of MapReduce Job.
• File Input/output Formats in MapReduce Jobs
• Text Input Format
• Key Value Input Format
• Sequence File Input Format
• NLine Input Format
• Joins
• Map-side Joins
• Reducer-side Joins
• Word Count Example
• Partition MapReduce Program
• Side Data Distribution
• Distributed Cache (with Program)
• Counters (with Program)
• Types of Counters
• Task Counters
• Job Counters
• User Defined Counters
• Propagation of Counters
• Job Scheduling

PIG:-
• Introduction to Apache PIG
• Introduction to PIG Data Flow Engine
• MapReduce vs PIG in detail
• When should PIG used?
• Data Types in PIG
• Basic PIG programming
• Modes of Execution in PIG
• Local Mode and
• MapReduce Mode
• Execution Mechanisms
• Grunt Shell
• Script
• Embedded
• Operators/Transformations in PIG
• PIG UDF’s with Program
• Word Count Example in PIG
• The difference between the MapReduce and PIG

SQOOP:-
• Introduction to SQOOP
• Use of SQOOP
• Connect to mySql database
• SQOOP commands
• Import
• Export
• Eval
• Codegen and etc…
• Joins in SQOOP
• Export to MySQL

HIVE:-
• Introduction to HIVE
• HIVE Meta Store
• HIVE Architecture
• Tables in HIVE
• Managed Tables
• External Tables
• Hive Data Types
• Primitive Types
• Complex Types
• Partition
• Joins in HIVE
• HIVE UDF’s and UADF’s with Programs
• Word Count Example

HBASE:-
• Introduction to HBASE
• Basic Configurations of HBASE
• Fundamentals of HBase
• What is NoSQL?
• HBase DataModel
• Table and Row
• Column Family and Column Qualifier
• Cell and its Versioning
• Categories of NoSQL Data Bases
• Key-Value Database
• Document Database
• Column Family Database
• SQL vs NOSQL
• How HBASE is differ from RDBMS
• HDFS vs HBase
• Client side buffering or bulk uploads
• HBase Designing Tables
• HBase Operations
• Get
• Scan
• Put
• Delete

MongoDB:--
• What is MongoDB?
• Where to Use?
• Configuration On Windows
• Inserting the data into MongoDB?
• Reading the MongoDB data.

Cluster Setup:--
• Downloading and installing the Ubuntu12.x
• Installing Java
• Installing Hadoop
• Creating Cluster
• Increasing Decreasing the Cluster size
• Monitoring the Cluster Health
• Starting and Stopping the Nodes

OOZIE
• Introduction to OOZIE
• Use of OOZIE
• Where to use?

Hadoop Ecosystem Overview
Oozie
HBase
Pig
Sqoop
Casandra
Chukwa
Mahout
Zoo Keeper
Flume
• Case Studies Discussions
• Certification Guidance
• Real Time Certification and
• interview Questions and Answers
• Resume Preparation
• Providing all Materials nd Links
• Real time Project Explanation and Practice