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Learning PySpark. Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0

Learning PySpark. Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0

Tomasz Drabas, Denny Lee

E-BOOK
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Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. This book will show you how to leverage the power of Python and put it to use in the Spark ecosystem. You will start by getting a firm understanding of the Spark 2.0 architecture and how to set up a Python environment for Spark.
You will get familiar with the modules available in PySpark. You will learn how to abstract data with RDDs and DataFrames and understand the streaming capabilities of PySpark. Also, you will get a thorough overview of machine learning capabilities of PySpark using ML and MLlib, graph processing using GraphFrames, and polyglot persistence using Blaze. Finally, you will learn how to deploy your applications to the cloud using the spark-submit command.
By the end of this book, you will have established a firm understanding of the Spark Python API and how it can be used to build data-intensive applications.
  • 1. Understanding Spark
  • 2. Installing Spark
  • 3. Resilient Distributed Datasets
  • 4. DataFrames
  • 5. Prepare Data for Modeling
  • 6. Introducing MLlib
  • 7. Introducing the ML Package
  • 8. GraphFrames
  • 9. TensorFrames
  • 10. Polyglot Persistence with Blaze
  • 11. Structured Streaming
  • 12. Free Spark Cloud Offering
  • 13. Packaging Spark Applications
  • Titel:Learning PySpark. Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0
  • Autor:Tomasz Drabas, Denny Lee
  • Originaler Titel:Learning PySpark. Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0
  • ISBN:9781786466259, 9781786466259
  • Veröffentlichungsdatum:2017-02-27
  • Format:E-Book
  • Artikel-ID: e_15gj
  • Verleger: Packt Publishing