Course Objective Hadoop basics and Hadoop ecosystem Managing, monitoring, scheduling and troubleshooting Hadoop clusters effectively Working with Apache Spark, Scala and Storm for real-time data analytics Working with Hive, Pig, HDFS, MapReduce, Sqoop, ZooKeeper and Flume Testing of Hadoop clusters with MRUnit and other automation tools Successfully integrating various ETL tools with Hive, Pig, and MapReduce Who is the Target Audience? Software Developers Project Managers ETL and Data Warehousing Professionals Software Architects Data Analysts & Business Intelligence Professionals DBAs Mainframe professionals Data Engineers Senior IT Professionals Testing professionals Graduates interested in Big Data Field Basic Knowledge: There are no specific prerequisites to learn Hadoop. Prior knowledge of Java and SQL is beneficial.