Hadoop, Part 2 of 4: ETL and MapReduce

In this course, Hadoop expert Kevin McCarty takes a closer look at some of the major components underpinning Hadoop – services such as Mahout, Oozie, and ZooKeeper, and languages such as Pig and Hive. He will examine the Hadoop architecture and look at some ETL tools Hadoop provides for moving data between a Hadoop cluster and external servers. Finally, McCarty will demonstrate a simple application in Java and follow that up with a deep dive into MapReduce including a look at automation using the Linux Chron Utility

Each LearnNowOnline training course is made up of Modules (typically an hour in length). Within each module there are Topics (typically 15-30 minutes each) and Subtopics (typically 2-5 minutes each). There is a Post Exam for each Module that must be passed with a score of 70% or higher to successfully and fully complete the course.