Hadoop training (www.hadooptraining.net)

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Module: Augmenting Existing Systems with Hadoop
To introduce our intermediate trainign session, we'll take a step back and look at data systems more generally. Hadoop rarely replaces existing infrastructure, but rather enables you to do more with your data by providing a scalable batch processing system. This lecture helps you understand how it all fits together.
Module: Best Practices for Data Processing Pipelines
In order for Hadoop to crunch large volumes of data, first you'll need to get that data into Hadoop. This lecture will help you understand how to import different types of data from various sources into Hadoop for further analysis.
Exercise Module: Importing Existing Databases with Sqoop
Sqoop is a command line tool developed by Cloudera and contributed to the Hadoop project. It provides an easy way to import data from RDBMSs and enable you to work with that data directly using MapReduce, Hive, or Pig.
Module: Introduction to Pig
Pig is a high-level language for large-scale data analysis programs. Pig exposes many common MapReduce constructs in an simplified processing language, and is often used for ad-hoc analysis.
Module: Working with Pig
In this exercise, we'll revisit some common tasks and see how you can accomplish them using Pig.
Module: Introduction to Hive - A Data Warehouse for Hadoop
Hive is a powerful data warehousing application built on top of Hadoop which allows you to use SQL to access your data. This lecture will give an overview of Hive and the query language.
Module: Working with Hive
This exercise will show you exactly how to work with Hive. We'll walk through importing data, creating tables, and making queries.
Extended Subjects on Hive & Pig
• Introduction to Apache Hive
• Getting data into Hive
• Hive’s architecture
• HiveQL
• Query execution
• Partitioning and bucketing
• Best practices
• Troubleshooting
• Introduction to Apache Pig
• Pig architecture
• Reading and writing data
• Pig Latin
• Advanced Pig Latin
• Debugging
• Best practices.

You can attend 1st 2 classes or 3 hours for free. once you like the classes then you can go for registration.
or full course details please visit our website www.hadooponlinetraining.net
Duration for course is 30 days or 45 hours and special care will be taken. It is a one to one training with hands on experience.

* Resume preparation and Interview assistance will be provided.
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