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Essential PySpark for Scalable Data Analytics
Language: en
Pages: 322
Authors: Sreeram Nudurupati
Categories: Data mining
Type: BOOK - Published: 2021-10-29 - Publisher: Packt Publishing Ltd

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Get started with distributed computing using PySpark, a single unified framework to solve end-to-end data analytics at scale Key FeaturesDiscover how to convert
Hands-On Big Data Analytics with PySpark
Language: en
Pages: 172
Authors: Rudy Lai
Categories: Computers
Type: BOOK - Published: 2019-03-29 - Publisher: Packt Publishing Ltd

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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
Spark: The Definitive Guide
Language: en
Pages: 594
Authors: Bill Chambers
Categories: Computers
Type: BOOK - Published: 2018-02-08 - Publisher: "O'Reilly Media, Inc."

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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
Machine Learning in Python
Language: en
Pages: 361
Authors: Michael Bowles
Categories: Computers
Type: BOOK - Published: 2015-04-27 - Publisher: John Wiley & Sons

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Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Python shows you how to successfully analyze data us
Data Analysis with Python and PySpark
Language: en
Pages: 454
Authors: Jonathan Rioux
Categories: Computers
Type: BOOK - Published: 2022-03-22 - Publisher: Simon and Schuster

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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