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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| Main Author: | |
|---|---|
| Other Authors: | , , |
| Format: | Electronic Video |
| Language: | English |
| Published: |
[Place of publication not identified]
O'Reilly Media
2015
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| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781491923313/?ar |
| 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. |
| Item Description: | Title from title screen (viewed May 21, 2015) |
| Physical Description: | 1 Online-Ressource (1 streaming video file (2 hr., 31 min., 32 sec.)) digital, sound, color. |
Staff View
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| spelling | Grover, Mark VerfasserIn aut Architectural considerations for Hadoop applications using clickstream analytics as an end-to-end example with Mark Grover, Ted Malaska, Jonathan Seidman, & Gwen Shapira Using clickstream analytics as an end-to-end example [Place of publication not identified] O'Reilly Media 2015 1 Online-Ressource (1 streaming video file (2 hr., 31 min., 32 sec.)) digital, sound, color. zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Title from title screen (viewed May 21, 2015) "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. Apache Hadoop Electronic data processing Distributed processing File organization (Computer science) Data mining Data Mining Apache Hadoop (OCoLC)fst01911570 Traitement réparti Fichiers (Informatique) ; Organisation Exploration de données (Informatique) Data mining (OCoLC)fst00887946 Electronic data processing ; Distributed processing (OCoLC)fst00906987 File organization (Computer science) (OCoLC)fst00924147 Malaska, Ted MitwirkendeR ctb Seidman, Jonathan MitwirkendeR ctb Shapira, Gwen MitwirkendeR ctb |
| spellingShingle | Grover, Mark Architectural considerations for Hadoop applications using clickstream analytics as an end-to-end example Apache Hadoop Electronic data processing Distributed processing File organization (Computer science) Data mining Data Mining Apache Hadoop (OCoLC)fst01911570 Traitement réparti Fichiers (Informatique) ; Organisation Exploration de données (Informatique) Data mining (OCoLC)fst00887946 Electronic data processing ; Distributed processing (OCoLC)fst00906987 File organization (Computer science) (OCoLC)fst00924147 |
| subject_GND | (OCoLC)fst01911570 (OCoLC)fst00887946 (OCoLC)fst00906987 (OCoLC)fst00924147 |
| title | Architectural considerations for Hadoop applications using clickstream analytics as an end-to-end example |
| title_alt | Using clickstream analytics as an end-to-end example |
| title_auth | Architectural considerations for Hadoop applications using clickstream analytics as an end-to-end example |
| title_exact_search | Architectural considerations for Hadoop applications using clickstream analytics as an end-to-end example |
| title_full | Architectural considerations for Hadoop applications using clickstream analytics as an end-to-end example with Mark Grover, Ted Malaska, Jonathan Seidman, & Gwen Shapira |
| title_fullStr | Architectural considerations for Hadoop applications using clickstream analytics as an end-to-end example with Mark Grover, Ted Malaska, Jonathan Seidman, & Gwen Shapira |
| title_full_unstemmed | Architectural considerations for Hadoop applications using clickstream analytics as an end-to-end example with Mark Grover, Ted Malaska, Jonathan Seidman, & Gwen Shapira |
| title_short | Architectural considerations for Hadoop applications |
| title_sort | architectural considerations for hadoop applications using clickstream analytics as an end to end example |
| title_sub | using clickstream analytics as an end-to-end example |
| topic | Apache Hadoop Electronic data processing Distributed processing File organization (Computer science) Data mining Data Mining Apache Hadoop (OCoLC)fst01911570 Traitement réparti Fichiers (Informatique) ; Organisation Exploration de données (Informatique) Data mining (OCoLC)fst00887946 Electronic data processing ; Distributed processing (OCoLC)fst00906987 File organization (Computer science) (OCoLC)fst00924147 |
| topic_facet | Apache Hadoop Electronic data processing Distributed processing File organization (Computer science) Data mining Data Mining Traitement réparti Fichiers (Informatique) ; Organisation Exploration de données (Informatique) Electronic data processing ; Distributed processing |
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