The PySpark Data Engineering Handbook: A Practical Guide to Building High-Performance Pipelines, Transforming Large Datasets, Optimizing Spark Applications, and Solving Real-World Problems

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Amazon Pages: 472, Paperback, Independently published

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Description (1)

Pages: 472, Paperback, Independently published


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Brand Independently Published
EAN
  • 9798190748215

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