| 書目名稱 | PySpark Recipes | | 副標(biāo)題 | A Problem-Solution A | | 編輯 | Raju Kumar Mishra | | 視頻video | http://file.papertrans.cn/765/764178/764178.mp4 | | 概述 | Presents advanced features of PySpark and code optimization techniques.Covers SparkSQL, Spark Streaming, Spark MLlib, and GraphFrames.Discusses and demonstrates Data Science and Big Data processing wi | | 圖書封面 |  | | 描述 | Quickly find solutions to common programming problems?encountered 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 Recipes.?covers 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 SparkSQL.Optimize your code.Program SparkSQL with Python.Use Spark Streaming and Spark MLlib with Python.Perform graph analysis with GraphFrames.Who This Book Is For.Data analysts, Python programmers, big data enthusiasts. | | 出版日期 | Book 2018 | | 關(guān)鍵詞 | Big Data; Spark; Python; Numpy; Scipy; Resilient Distributed Database; Advanced PySpark; Spark SQL; MLLIb; Py | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-3141-8 | | isbn_softcover | 978-1-4842-3140-1 | | isbn_ebook | 978-1-4842-3141-8 | | copyright | Raju Kumar Mishra 2018 |
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