Big Data and Hadoop
Who can Attend
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 24 hours Instructor led Online Training
Hard/Soft copy of Training Material
150 days E-Learning access
Course Completion Certificate
Extensive practical lab exercises with live project
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.