28th - 31st May Hadoop Fundamentals Course in Abuja


This 4 day intensive fast paced course will deliver a technical overview of the Hadoop landscape. No prior knowledge of databases is assumed. However, previous basic Java programming experience and linux command line experience will be very useful for this course.
The course is targeted towards technical people who want to understand the emerging world of Big Data, with a specific focus on Hadoop.

Audience: Data Analysts, Business Analysts, Developers, Data Managers, Business Intelligence Analysts, IT Administrators, Data Architects

Recommended Prerequisites: None

Course Schedule: 4 Days, 32 Academic Hours

Course Syllabus:

Day 1

Introduction to Hadoop and its Ecosystem, Map Reduce and HDFS

Big Data, Factors constituting Big Data
Hadoop and Hadoop Ecosystem
Map Reduce – Concepts of Map, Reduce, Ordering, Concurrency, Shuffle , Reducing, Concurrency
Hadoop Distributed File System (HDFS) Concepts and its Importance
Deep Dive in Map Reduce – Execution Framework, Partioner, Combiner, Data Types, Key pairs
HDFS Deep Dive – Architecture, Data Replication, Name Node, Data Node, Data Flow
Parallel Copying with DISTCP, Hadoop Archives

Hands on Exercises

Installing Hadoop in Pseudo Distributed Mode, Understanding Important configuration files, their Properties and Demon Threads
Accessing HDFS from Command Line
Map Reduce – Basic Exercises
Understanding Hadoop Eco-system
Introduction to Sqoop , use cases and Installation
Introduction to Hive , use cases and Installation
Introduction to Pig , use cases and Installation
Introduction to Oozie , use cases and Installation
Introduction to Flume , use cases and Installation
Introduction to Yarn

Day 2

Deep Dive in Map Reduce and Yarn

How to develop Map Reduce Application , writing unit test
Best Practices for developing and writing , Debugging Map Reduce applications
Joining Data sets in Map Reduce
Algorithms – Traversing Graph, etc
Hadoop API’s

Deep Dive in Pig

Grunt, Script Mode, Data Model
Advance Pig Latin, Evaluation and Filter functions, Pig and Ecosystem
Real time use cases – Gaming Industry, Oil and Gas Sector

Day 3

Deep Dive in Hive

Understanding Hive , Architecture, Physical Model, Data Model, Data Types
Hive QL- DDL,DML,other Operations
Understanding Tables in Hive, Partitioning, Indexes,Bucketing,Sub Queries, Joining Tables,Data Load and appending data to existing Table
Hands on Exercises – Playing with huge data and Querying extensively.
User defined Functions,Optimizing Queries, Tips and Tricks for performance tuning

Introduction to Hbase architecture

Introduction to HBase, Architecture, Map Reduce Integration, Different Client API – Features and Administration.

Day 4

Deep Dive into Ooze

Understanding Oozie
Designing and Implementing Workflow
Oozie Coordinator application Implementation

Hadoop Cluster Setup and Running Map Reduce Jobs

Hadoop Multi Node Cluster Setup using Amazon ec2 – Creating 4 node cluster setup
Running Map Reduce Jobs on Cluster

Major Project – Putting it all together and Connecting Dots

Putting it all together and Connecting Dots
Working with Large data sets, Steps involved in analyzing large data

Advance Mapreduce

Delving Deeper Into The Hadoop API
More Advanced Map Reduce Programming, Joining Data Sets in Map Reduce
Graph Manipulation in Hadoop



For more information on our training, please enquire using the form above or call 07035368449