Get a solid grounding in Oozie, the workflow scheduler for Hadoop jobs. With this practical guide, two experienced Hadoop practitioners teach you Oozie concepts and caveats through lots of examples. You'll learn how to set up an Oozie server and run jobs, then dive into Oozie workflow techniques: coordinating workflows, bundling applications, and writing to them.
Advanced topics show you how to use Oozie to submit MapReduce, Pig, and Hive jobs directly, and how to use Oozie's security capabilities.
Mohammad Kamrul Islam is currently working at LinkedIn in the Hadoop development team as a Staff Software Engineer. Previously, he worked at Yahoo for nearly five years as an Oozie architect/technical lead. His fingerprints can be found all over Oozie, and he's a respected voice in the Oozie community. He has been intimately involved with the Apache Hadoop ecosystem since 2008. Mohammad has a Ph.D. in Computer Science with a specialization in parallel job scheduling from Ohio State University. He received his MSCS degree from Wright State University, Ohio, and BSCS from Bangladesh University of Engineering and Technology (BUET). He is a PMC member of both Apache Oozie and Apache TEZ.
Aravind Srinivasan has been involved with Hadoop in general and Oozie in particular since 2008. He is currently a Lead Application Architect at Altiscale, a Hadoop-as-a-service company, where he helps customers with Hadoop application design and architecture. His association with Big Data and Hadoop started during his time at Yahoo, where he spent almost six years working on various data pipelines for advertising systems. He has extensive experience building complicated, low latency data pipelines and also in porting legacy pipelines to Oozie. He drove a lot of Oozie’s requirements as a customer in its early days of adoption inside Yahoo and later spent some time as a Product Manager in Yahoo’s Hadoop team where he contributed further to Oozie’s roadmap. He also spent a year after Yahoo at Think Big Analytics, a Hadoop consulting firm, where he got to consult on some interesting and challenging Big Data integration projects at Facebook. He has a Masters in Computer Science from Arizona State and lives in Silicon Valley.
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