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Beginning Apache Spark Dataframe by Luu Hien (19 results)
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£ 30.05
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Add to basketPaperback. Condition: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.74.
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Beginning Apache Spark 3 : With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library
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Add to basketPaperback or Softback. Condition: New. Beginning Apache Spark 3: With Dataframe, Spark Sql, Structured Streaming, and Spark Machine Learning Library 1.74. Book.
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Beginning Apache Spark 3 : With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library
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Beginning Apache Spark 3: With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library
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Add to basketCondition: New. 2nd ed. edition NO-PA16APR2015-KAP.
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International EditionBeginning Apache Spark 3: With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library
ISBN 10: 8868806053 ISBN 13: 9788868806057
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Add to basketCondition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
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International Edition
Beginning Apache Spark 3: With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library
ISBN 10: 8868806053 ISBN 13: 9788868806057
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Add to basketCondition: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Paperback. Condition: Brand New. 2nd edition. 455 pages. 10.00x7.00x1.03 inches. In Stock.
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Add to basketCondition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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Beginning Apache Spark 3: With DataFrame, Spark SQL, Structured Streaming, and Spark Machine Learning Library
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 209.
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£ 65.95
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Take a journey toward discovering, learning, and using Apache Spark 3.0. In this book, you will gain expertise on the powerful and efficient distributed data processing engine inside of Apache Spark; its user-friendly, comprehensive, and flexible programming model for processing data in batch and streaming; and the scalable machine learning algorithms and practical utilities to build machine learning applications.Beginning Apache Spark 3 begins by explaining different ways of interacting with Apache Spark, such as Spark Concepts and Architecture, and Spark Unified Stack. Next, it offers an overview of Spark SQL before moving on to its advanced features. It covers tips and techniques for dealing with performance issues, followed by an overview of the structured streaming processing engine. It concludes with a demonstration of how to develop machine learning applications using Spark MLlib and how to manage the machine learning development lifecycle.This book is packed with practical examples and code snippets to help you master concepts and features immediately after they are covered in each section.After reading this book, you will have the knowledge required to build your own big data pipelines, applications, and machine learning applications.What You Will LearnMaster the Spark unified data analytics engine and its various componentsWork in tandem to provide a scalable, fault tolerant and performant data processing engineLeverage the user-friendly and flexible programming model to perform simple to complex data analytics using dataframe and Spark SQLDevelop machine learning applications using Spark MLlibManage the machine learning development lifecycle using MLflowWho This Book Is ForData scientists, data engineers and software developers.
