Developing Solutions using Apache Hadoop

The Developing Solutions using Apache Hadoop training course is designed for Java developers who want to better understand how to create Apache Hadoop solutions. The course consists of 50% hands-on lab exercises and 50% presentation material.

After successfully completing this training course each student will receive one free voucher for the Hadoop Certified Developer exam.

Topics Covered

• The process of taking a Hadoop project from conception to completion
• Best practices for using Hadoop most effectively towards providing solutions
• MapReduce training: Including how to write a MapReduce program using the Hadoop API
• HDFS training: Including effective loading and processing of data with CLI and API
• How to effectively debug, monitor and optimize Hadoop solutions.
• Over 15 hands-on training exercises using HDFS, Pig, Hive, HBase, key MapReduce components and features (e.g. mapper, reducer, combiner, partitioner and streaming) and more

** Lunch-and-Learn Session with Arun Murthy **

• Join Arun Murthy, Hortonworks founder and VP of Apache Hadoop for the Apache Software Foundation, for an interactive educational session
• Session will include a discussion of upcoming MapReduce features and other important Hadoop features currently being developed. Arun will answer your questions about the Apache Hadoop project.
• Lunch-and-Learn sessions will be part of every Developing Solutions using Apache Hadoop class before June 30, 2012

Intended Audience

• Java programmers who are interested in learning how to build Hadoop solutions

Course Duration

• The Developing Solutions using Apache Hadoop class is a four-day course spanning 26 total hours
• There are approximately 13 hours each of hands-on labs and presentations