Hadoop is an open source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data. It has a software library which is a framework that allows distributed processing of large data sets across clusters of computing devices using simple programming models.

Cloudera Hadoop (CDH) the most popular Open Source Hadoop distribution. It includes all the leading Hadoop ecosystem components to store, process, discover, model, and serve unlimited data, and it's engineered to meet the enterprise standards for stability and reliability.

In this Course, you work on Cloudera Hadoop (CDH) distribution. You will Explore the HDFS Architecture, Learn about the Components and Tools of CDH. Also you perform Data Processing using Map Reduce, Import and Export Data using SQOOP, Create and Execute Pig Scripts and Learn how to Create and Execute Oozie Workflows on CDH.

You will get to know about Map Reduce(MR), to create Hive Tables and Execute Hive Query using Hue UI, to run Impala the Queries using Impala-Shell, to create and Execute Pig Scripts to Perform ETL, work with Cloudera Based Hadoop Ecosystem.

You will learn about to execute various HDFS Commands, HDFS Architecture.

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