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Language: en
Pages: 275
Pages: 275
Type: BOOK - Published: 2018-06-16 - Publisher: Springer
The book describes the emergence of big data technologies and the role of Spark in the entire big data stack. It compares Spark and Hadoop and identifies the sh
Language: en
Pages: 106
Pages: 106
Type: BOOK - Published: 2018-03-13 - Publisher: Lulu.com
Apache Spark is a popular open-source big-data processing framework thatÕs built around speed, ease of use, and unified distributed computing architecture. Not
Language: en
Pages: 296
Pages: 296
Type: BOOK - Published: 2019-10-07 - Publisher: "O'Reilly Media, Inc."
If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools
Language: en
Pages: 594
Pages: 594
Type: BOOK - Published: 2018-02-08 - Publisher: "O'Reilly Media, Inc."
Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With
Language: en
Pages: 172
Pages: 172
Type: BOOK - Published: 2019-03-29 - Publisher: Packt Publishing Ltd
Use PySpark to easily crush messy data at-scale and discover proven techniques to create testable, immutable, and easily parallelizable Spark jobs Key FeaturesW