【电子书分享】Learning PySpark下载，包含pdf、epub格式
iteblog 过往记忆大数据
图书简介
本书将向您展示如何利用Python的强大功能并将其用于Spark生态系统中。您将首先了解Spark 2.0的架构以及如何为Spark设置Python环境。通过本书，你将会使用Python操作RDD、DataFrames、MLlib以及GraphFrames等；在本书结束时，您将对Spark Python API有了全局的了解，并且学习到如何使用它来构建数据密集型应用程序。通过本书你将学习到以下的知识：
- Learn about Apache Spark and the Spark 2.0 architecture
- Build and interact with Spark DataFrames using Spark SQL
- Learn how to solve graph and deep learning problems using GraphFrames and TensorFrames respectively
- Read, transform, and understand data and use it to train machine learning models
- Build machine learning models with MLlib and ML
- Learn how to submit your applications programmatically using spark-submit
- Deploy locally built applications to a cluster 本书由Tomasz Drabas所著，全书共380页；Packt Publishing出版社于2017年02月出版。
本书章节
1 UNDERSTANDING SPARK 2 RESILIENT DISTRIBUTED DATASETS 3 DATAFRAMES 4 PREPARE DATA FOR MODELING 5 INTRODUCING MLLIB 6 INTRODUCING THE ML PACKAGE 7 GRAPHFRAMES 8 TENSORFRAMES 9 POLYGLOT PERSISTENCE WITH BLAZE 10 STRUCTURED STREAMING 11 PACKAGING SPARK APPLICATIONS
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