About the Course -

Typical database management systems like SQL is not capable of storing and handling such big data created each day. Big data Hadoop is the new technology to make this easy. So far we have placed 300 candidates as Hadoop developers, Testers, Architects and administrators in MNC’s.


With Map-reduce technology, Big data can be easily stored, processed as per the need through different nodes. New analytical tools help us find new patterns in the data which helps businesses in decision making in several ways. For example, the data of how many people like a particular type of food in a particular region, is fruitful for the restaurant's businesses to design their menus or start a new venture in particular region. There are endless and micro research possibilities with big data.


The course is designed to give you in-depth knowledge of the Big Data framework using Hadoop and Spark, including HDFS, YARN, and MapReduce. You will learn to use Pig, Hive, and Impala to process and analyze large datasets stored in the HDFS, and use Sqoop and Flume for data ingestion with our big data training.

Course Objectives -

• Introduction to Big Data and Hadoop

• HDFS (Hadoop Distributed File System)

• YARN (Yet Another Resource Negotiator) & MapReduce

• Hadoop Ecosystem tools - Pig, Hive, Sqoop, Flume, Oozie, and HBase

• Data Analysis with Sqoop & Fume

• Industry standards & Practises

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