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International EditionCondition: 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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Paperback or Softback. Condition: New. Pyspark SQL Recipes: With Hiveql, Dataframe and Graphframes. Book.
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Condition: 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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Pyspark SQL Recipes : With Hiveql, Dataframe and Graphframes
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Paperback. Condition: Brand New. 347 pages. 9.25x6.50x0.50 inches. In Stock.
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Pyspark SQL Recipes : With Hiveql, Dataframe and Graphframes
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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PySpark SQL Recipes: With HiveQL, Dataframe and Graphframes
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Taschenbuch. Condition: Neu. PySpark SQL Recipes | With HiveQL, Dataframe and Graphframes | Sundar Rajan Raman (u. a.) | Taschenbuch | xxiv | Englisch | 2019 | Apress | EAN 9781484243343 | 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.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Carry out data analysis with PySpark SQL, graphframes, and graph data processing using a problem-solution approach. This book provides solutions to problems related to dataframes, data manipulation summarization, and exploratory analysis. You will improve your skills in graph data analysis using graphframes and see how to optimize your PySpark SQL code.PySpark SQL Recipes starts with recipes on creating dataframes from different types of data source, data aggregation and summarization, and exploratory data analysis using PySpark SQL. You'll also discover how to solve problems in graph analysis using graphframes.On completing this book, you'll have ready-made code for all your PySpark SQL tasks, including creating dataframes using data from different file formats as well as from SQL or NoSQL databases.What You Will LearnUnderstand PySpark SQL and its advanced featuresUse SQL and HiveQL with PySpark SQLWork with structured streamingOptimize PySpark SQLMaster graphframes and graph processingWho This Book Is ForData scientists, Python programmers, and SQL programmers.
