Big Data Training Online

Course Objectives

  • Introduction to Big Data and Hadoop
  • Understanding Hadoop architecture and eco-system
  • Working with Hadoop Distributed File System (HDFS)
  • Understanding Map Reduce concepts
  • Understanding Hadoop API
  • Writing Map Reduce programs in Java
  • Understanding Hadoop programming best practices
  • Building Hadoop application based on real-world example – architecture, design and coding

who should attend

This course is recommended for:

  • Professionals aspiring to make a career in Big Data Analytics using Hadoop Framework.

 

Course Content for Big Data Training Online

Introduction to Hadoop

  • High Availability
  • Scaling
  • Advantages and Challenges 

Introduction to Big Data

  • What is Big data
  • Big Data opportunities
  • Big Data Challenges
  • Characteristics of Big data 

Introduction to Hadoop

  • Hadoop Distributed File System
  • Comparing Hadoop & SQL.
  • Industries using Hadoop.
  • Data Locality.
  • Hadoop Architecture.
  • Map Reduce & HDFS.
  • Using the Hadoop single node image (Clone). 

Introduction to Pig

  • What Is Pig?
  • Pig’s Features
  • Pig Use Cases
  • Interacting with Pig

Basic Data Analysis with Pig

  • Pig Latin Syntax
  • Loading Data
  • Simple Data Types
  • Field Definitions
  • Data Output
  • Viewing the Schema
  • Filtering and Sorting Data
  • Commonly-Used Functions

Introduction to Hive

  • What Is Hive?
  • Hive Schema and Data Storage
  • Comparing Hive to Traditional Databases
  • Hive vs. Pig
  • Hive Use Cases
  • Interacting with Hive

Relational Data Analysis with Hive

  • Hive Databases and Tables
  • Basic HiveQL Syntax
  • Data Types
  • Joining Data Sets
  • Common Built-in Functions

HBase

  • HBase Data Model
  • HBase Shell
  • HBase Client API
  • Data Loading Techniques
  • ZooKeeper Data Model
  • Zookeeper Service
  • Zookeeper
  • Demos on Bulk Loading
  • Getting and Inserting Data
  • Filters in HBase

 

 

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