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If you enjoyed this book, you may be interested in these other books by Packt:

Learning PySpark
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ISBN: 978-1-78646-370-8

  • 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

PySpark Cookbook
Tomasz Drabas, Denny Lee

ISBN: 978-1-78883-536-7

  • Configure a local instance of PySpark in a virtual environment
  • Install and configure Jupyter in local and multi-node environments
  • Create DataFrames from JSON and a dictionary using pyspark.sql
  • Explore regression and clustering models available in the ML module
  • Use DataFrames to transform data used for modeling
  • Connect to PubNub and perform aggregations on streams
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