Pyspark Recipes Problem Solution Approach (9 results)

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- International Edition
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Condition: 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 print…ed 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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- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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- Softcover
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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[d…ot]com | Anbieter: preigu.

- Softcover
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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- Softcover
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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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.