The world of Hadoop and "Big Data" can be intimidating - hundreds of different technologies with cryptic names form the Hadoop ecosystem. With this Hadoop tutorial, you'll not only understand what those systems are and how they fit together - but you'll go hands-on and learn how to use them to solve real business problems!

Design distributed systems that manage "big data" using Hadoop and related technologies.

Choose an appropriate data storage technology for your application

Use HDFS and MapReduce for storing and analyzing data at scale.

Understand how Hadoop clusters are managed by YARN, Tez, Mesos, Zookeeper, Hue, and .

• Traditional way vs MapReduce way
• Why MapReduce
• YARN Components
• YARN Architecture
• YARN MapReduce Application Execution Flow
• YARN Workflow
• Anatomy of MapReduce Program
• Input Splits, Relation between Input Splits and HDFS Blocks
• MapReduce: Combiner & Partitioner

Intro to Bigdata and Hadoop

Hadoop 1.0

Hadoop 2.0

Yarn

Hdfs

Pig

Hbase

Hive

Hive vs Pig

Sqoop

Steaming Project Using  Twitter

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