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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)
快速找到在處理大數據時遇到的常見程式設計問題的解決方案。內容以流行的問題-解決方案格式呈現。查找您想要解決的程式設計問題。閱讀解決方案。直接在自己的程式碼中應用解決方案。問題解決！
《PySpark 食譜》涵蓋了 Hadoop 及其缺點。介紹了 Spark、PySpark 和 RDD 的架構。您將學會應用 RDD 來解決日常的大數據問題。書中包含 Python 和 NumPy，使新學習者能夠輕鬆理解和採用該模型。
您將學到的內容：
- 理解 PySpark2 和 SparkSQL 的進階功能
- 優化您的程式碼
- 使用 Python 編寫 SparkSQL
- 使用 Python 操作 Spark Streaming 和 Spark MLlib
- 使用 GraphFrames 進行圖形分析
本書適合對象：
數據分析師、Python 程式設計師、大數據愛好者
