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Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark

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Data science teams looking to turn research into useful analytics applications require not only the right tools, but also the right approach if they're to succeed. With the revised second edition of this hands-on guide, up-and-coming data scientists will learn how to use the Agile Data Science development methodology to build data applications with Python, Apache Spark, Kafka, and other tools. Author Russell Jurney demonstrates how to compose a data platform for building, deploying, and refining analytics applications with ...

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Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark
2017, O'Reilly Media

ISBN-13: 9781491960110

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