Learning path understanding tool integration for big data architecture
"Implementing solutions with Apache Hadoop requires understanding not just Hadoop, but a broad range of related projects within the Hadoop ecosystem. In this Learning Path, you'll discover how to integrate Hadoop components to implement big data solutions through a variety of end-to-end us...
| Otros Autores: | , , , , , , |
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| Formato: | Vídeo online |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly Media
[2016]
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009676317806719 |
| Sumario: | "Implementing solutions with Apache Hadoop requires understanding not just Hadoop, but a broad range of related projects within the Hadoop ecosystem. In this Learning Path, you'll discover how to integrate Hadoop components to implement big data solutions through a variety of end-to-end use case studies addressing clickstream analytics, time series problems, and data transfer between Hadoop and relational databases. You'll master techniques for integrating Spark with other key components of the Hadoop ecosystem, including HDFS, YARN, and MapReduce, and gain direct experience integrating Spark and Hadoop through a series of sixteen hands-on labs. In closing, you'll get a glimpse into the latest trends in data infrastructure, in a changing financial industry, through a series of talks from Strata+Hadoop world on next-gen finance."--Resource description page. |
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| Notas: | Title and publication information from resource description page (Safari, viewed January 10, 2017). |
| Descripción Física: | 1 online resource (1 streaming video file (21 hr., 44 min., 26 sec.)) : digital, sound, color |
| ISBN: | 9781491978641 |
