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Use PySpark to easily crush messy data at-scale and discover proven techniques to create testable, immutable, and easily parallelizable Spark jobs Key FeaturesW
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Pages: 594
Pages: 594
Type: BOOK - Published: 2018-02-08 - Publisher: "O'Reilly Media, Inc."
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Think big about your data! PySpark brings the powerful Spark big data processing engine to the Python ecosystem, letting you seamlessly scale up your data tasks