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Seller: SMASS Sellers, IRVING, TX, U.S.A.
Condition: New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.
Language: English
Published by Apress, Incorporated, 2017
ISBN 10: 1484231406 ISBN 13: 9781484231401
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Seller: Revaluation Books, Exeter, United Kingdom
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Taschenbuch. Condition: Neu. PySpark Recipes | A Problem-Solution Approach with PySpark2 | Raju Kumar Mishra | Taschenbuch | xxiii | Englisch | 2017 | Apress | EAN 9781484231401 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Apress, Incorporated, 2017
ISBN 10: 1484231406 ISBN 13: 9781484231401
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND.
Language: English
Published by Apress, Incorporated, 2017
ISBN 10: 1484231406 ISBN 13: 9781484231401
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Quickly find solutions to common programming problemsencountered while processing big data. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved!PySpark Recipescovers Hadoop and its shortcomings. The architecture of Spark, PySpark, and RDD are presented. You will learn to apply RDD to solve day-to-day big data problems. Python and NumPy are included and make it easy for new learners of PySpark to understand and adopt the model.What You Will Learn Understand the advanced features of PySpark2 and SparkSQLOptimize your codeProgram SparkSQL with PythonUse Spark Streaming and Spark MLlib with PythonPerform graph analysis with GraphFramesWho This Book Is ForData analysts, Python programmers, big data enthusiasts.