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相關主題
商品描述
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
商品描述(中文翻譯)
快速找到處理大數據時常見的編程問題的解決方案。內容以流行的問題解決格式呈現。查找您想解決的編程問題。閱讀解決方案。直接在您自己的代碼中應用解決方案。問題解決！
《PySpark Recipes》涵蓋了Hadoop及其缺點。介紹了Spark、PySpark和RDD的架構。您將學習如何應用RDD解決日常的大數據問題。書中還包含Python和NumPy，使初學者能夠更容易地理解和採用這個模型。
您將學到什麼：
- 瞭解PySpark2和SparkSQL的高級功能
- 優化您的代碼
- 使用Python編程SparkSQL
- 使用Python進行Spark Streaming和Spark MLlib
- 使用GraphFrames進行圖分析
適合閱讀對象：
數據分析師、Python程序員、大數據愛好者
