Learning PySpark : build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 [E-Book] / Tomasz Drabas, Denny Lee.
Drabas, Tomasz, (author)
Lee, Denny, (author)
1st edition
Birmingham : Packt Publishing, 2017
273 pages (online resource)
englisch
9781786466259
9781786463708
Full Text
Table of Contents:
  • Learning PySpark : build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0
  • Credits
  • Foreword
  • About the Authors
  • About the Reviewer
  • Customer Feedback
  • Table of Contents
  • Preface
  • Chapter 1: Understanding Spark
  • Chapter 2: Resilient Distributed Datasets
  • Chapter 3: DataFrames
  • Chapter 4: Prepare Data for Modeling
  • Chapter 5: Introducing MLlib
  • Chapter 6: Introducing the ML Package
  • Chapter 7: GraphFrames
  • Chapter 8: TensorFrames
  • Chapter 9: Polyglot Persistence with Blaze
  • Chapter 10: Structured Streaming
  • Chapter 11: Packaging Spark Applications
  • Index.