O’Reilly – Architectural Considerations for Hadoop Applications

O’Reilly – Architectural Considerations for Hadoop Applications
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Implementing solutions with Apache Hadoop requires understanding notjust Hadoop, but a broad range of related projects in the Hadoopecosystem such as Hive, Pig, Oozie, Sqoop, and Flume.

Architectural Considerations for Hadoop Applications
Using Clickstream Analytics As an End-to-End Example
By Mark Grover, Gwen Shapira, Jonathan Seidman, Ted Malaska
Publisher: O’Reilly Media
Final Release Date: March 2015
Run time: 2 hours 31 minutes

Using Clickstream Analytics As an End-to-End Example
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Architectural Considerations for Hadoop Applications
Using Clickstream Analytics As an End-to-End Example
By Mark Grover, Gwen Shapira, Jonathan Seidman, Ted Malaska
Publisher: O’Reilly Media
Final Release Date: March 2015
Run time: 2 hours 31 minutes

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The good news isthat there’s an abundance of materials – books, web sites,conferences, etc. – for gaining a deep understanding of Hadoop andthese related projects. The bad news is there’s still a scarcity ofinformation on how to integrate these components to implement completesolutions. In this video we’ll walk through an end-to-end case studyof a clickstream analytics engine to provide a concrete example of howto architect and implement a complete solution with Hadoop.

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