Big Data and Hadoop

   Big Data and Hadoop

Training schedule will be announced shortly.

Overview

Key Features

Course Outline

Who can Attend

Prerequisites

Hadoop is a software framework for storing and processing Big Data. It is an open-source tool build on java platform and focuses on improved performance in terms of data processing on clusters of commodity hardware.

Hadoop comprises of multiple concepts and modules like HDFS, Map-Reduce, HBASE, PIG, HIVE, SQOOP and ZOOKEEPER to perform the easy and fast processing of huge data

Hadoop conceptually different from Relational databases and can process the high volume, high velocity and high variety of data to generate value

3 Days Classroom or 32 hours Instructor led Online Training

Hard/Soft copy of Training Material

150 days E-Learning access

Course Completion Certificate

45 CCR PDU (32 PDU+13 CCR)

Extensive practical lab exercises with live project

25 hours of Quality E-learning content

3 Simulation Test

Real times Case studies with examples

Learn with Apache Pig, Hive, Sqoop, Flume and Oozie frameworks

Exam tips & Techniques

Course delivered by World-class Trainers

Post training support

10% discount on any other Course

25% discount on any Online Course

Master the concepts of HDFS and MapReduce framework

Understand Hadoop 2.x Architecture

Setup Hadoop Cluster and write Complex MapReduce programs

Learn the data loading techniques using Sqoop and Flume

Perform Data Analytics using Pig, Hive and YARN

Implement HBase and MapReduce Integration

Implement Advanced Usage and Indexing

Schedule jobs using Oozie

Implement best Practices for Hadoop Development

Work on a Real Life Project on Big Data Analytics

Software Engineers, who are into ETL/Programming and exploring for great job opportunities in hadoop.

Managers, who are looking for the latest technologies to be implemented in their organization, to meet the current & upcoming challenges of data management.

Any Graduate/Post-Graduate, who is aspiring a great career towards the cutting edge technologies in IT

Prerequisites for learning Hadoop include hands-on experience in Core Java and good analytical skills to grasp and apply the concepts in Hadoop. This course helps you brush up your Java Skills needed to write Map Reduce programs.