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Data Analysis with Python and PySpark

Jonathan Rioux, 1617297208, 9781617297205, 978-1617297205

200,000 تومان
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English | 2022 | EPUB, Converted PDF

Data Analysis with Python and PySpark is a carefully engineered tutorial  that helps you use PySpark to deliver your data-driven applications at  any scale.

When it comes to data analytics, it pays to think big.  PySpark blends the powerful Spark big data processing engine with the  Python programming language to provide a data analysis platform that can  scale up for nearly any task. Data Analysis with Python and PySpark is  your guide to delivering successful Python-driven data projects.

Data  Analysis with Python and PySpark is a carefully engineered tutorial  that helps you use PySpark to deliver your data-driven applications at  any scale. This clear and hands-on guide shows you how to enlarge your  processing capabilities across multiple machines with data from any  source, ranging from Hadoop-based clusters to Excel worksheets. You’ll  learn how to break down big analysis tasks into manageable chunks and  how to choose and use the best PySpark data abstraction for your unique  needs.

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