Architectural considerations for Hadoop applications using clickstream analytics as an end-to-end example
"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. The good news isthat there's an abundance of materials - books, web sites,conferences, etc. - for gaini...
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| Format: | eBook |
| Language: | English |
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[Place of publication not identified]
O'Reilly Media
2015
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | "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. 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 of information 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."--Resource description page |
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| Item Description: | Title from title screen (viewed May 21, 2015) |
| Physical Description: | 1 streaming video file (2 hr., 31 min., 32 sec.) digital, sound, color |