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Big Data Hadoop

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Introduction

Join the data revolution. Learning Big data and Hadoop which has almost become the de facto standard for storing, processing and analyzing hundreds of terabytes, and even petabytes of data.

Our program on Big Data Hadoop Course is designed to equip you with the necessary technical knowledge to create a big data organization that can reveal insights from all types of data and systems.

Course Objectives

Module 1

WHAT IS BIG DATA AND WHY HADOOP:
  • Big Data characteristics
  • Challenges with traditional system
  • RDBMS/SQL vs. Hadoop
HADOOP OVERVIEW AND ECOSYSTEM:
  • Architecture of Hadoop cluster
  • Installing and configuring Hadoop
  • Hands-on Exercise
HADOOP DISTRIBUTED FILE SYSTEM - HDFS
  • Name Node and Data Node
  • Virtual Machine Setup
  • Hands-on Exercise

Module 2

MAP REDUCE ARCHITECTURE
  • How does it work?
  • The Mapper and Reducer
  • Input & Output Formats, Data Type
DEVELOPING MAP REDUCE PROGRAMS
  • Setting up environment
  • Creating Map Reduce programs
  • Hands-on Exercise
ADVANCED MAP REDUCE CONCEPTS
  • Combiner, Partitioner, Compression
  • Hands-on Exercise

Module 3

MONITORING AND MANAGEMENT
  • Managing HDFS with tools like FSCK and DFSADMIN
  • Using HDFS & Job Tracker Web UI
  • Commissioning and decommissioning of nodes
  • Hands-on Exercise
SQOOP
  • Importing and exporting data from RDBMS
  • R for Hadoop for analytics

Module 4

USING PIG & HBASE BASICS
  • Pig philosophy and architecture
  • Pig Latin and the Grunt shell
  • Loading Data
  • Data types and schemas
  • Intro to UDF and Scripts
  • Pig Latin Details: structure, functions, expressions, relational operators
  • HBase vs. RDBMS
  • HBase Master and Region Servers
  • Intro to ZooKeeper
  • Data Modeling
  • Column Families and Regions
  • Write pipeline / Read pipeline
  • Catalog Tables
  • Hands-on Exercise

Assignment & Portfolio Building

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