by | Released March 2015 | ISBN: 9781491923313

Implementing solutions with Apache Hadoop requires understanding not just Hadoop, but a broad range of related projects in the Hadoop ecosystem such as Hive, Pig, Oozie, Sqoop, and Flume. The good news is that there's an abundance of materials – books, web sites, conferences, etc. – for gaining a deep understanding of Hadoop and these related projects. The bad news is there's still a scarcity of information on how to integrate these components to implement complete solutions. In this video we'll walk through an end-to-end case study of a clickstream analytics engine to provide a concrete example of howto architect and implement a complete solution with Hadoop. Show and hide more Publisher resources View/Submit Errata

1. Introduction to Clickstream Case Study 00:11:19
2. Requirements 00:08:04
3. Data Modeling 00:14:55
4. Data Ingest 00:16:16
5. Data Processing Engines - Part 1 00:16:23
6. Data Processing Engines - Part 2 00:10:59
7. Data Processing Patterns 00:09:32
8. Orchestration 00:14:34
9. Putting It All Together 00:03:08
10. Demo 00:21:47
11. Q&A 00:24:35
Show and hide more