With Learning PySpark, learn why and how you can efficiently use Python to process data and build machine learning models in Apache Spark 2.0. Develop and deploy efficient, scalable real-time Spark solutions. (Limited-time offer)
Table of Contents
- Understanding Spark
- Resilient Distributed Datasets
- DataFrames
- Prepare Data for Modeling
- Introducing MLlib
- Introducing the ML Package
- GraphFrames
- TensorFrames
- Polyglot Persistence with Blaze
- Structured Streaming
- Packaging Spark Applications
Download Free PDF / Read Online
Author(s): Tomasz Drabas, Denny Lee
Publisher: Packt Publishing
Published: February 2017
Format(s): Online
File size: –
Number of pages: 274
Download / View Link(s): This offer has ended.
Free as of 04/13/2020.
Publisher: Packt Publishing
Published: February 2017
Format(s): Online
File size: –
Number of pages: 274
Download / View Link(s): This offer has ended.
Free as of 04/13/2020.