Architectural Considerations for Hadoop Applications /
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...
| Main Authors: | , , , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
O'Reilly Media, Inc.,
2015.
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| Edition: | 1st edition. |
| Subjects: | |
| Online Access: | Connect to this electronic resource |
| Summary: | 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. |
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| Item Description: | Videorecording. |
| Physical Description: | 1 online resource (1 video file, approximately 2 hr., 32 min.) |
| Format: | Mode of access: World Wide Web. |