Can I read Learning PySpark : Build Data-intensive Applications Locally and Deploy at Scale Using the Combined Powers of Python and Spark 2.0 on EtoBox?

Learning PySpark : Build Data-intensive Applications Locally and Deploy at Scale Using the Combined Powers of Python and Spark 2.0 by Lee, Denny & Drabas, Tomasz is a book available to read on EtoBox.

What is Learning PySpark : Build Data-intensive Applications Locally and Deploy at Scale Using the Combined Powers of Python and Spark 2.0 about?

Build data-intensive applications locally and deploy at scale using thecombined powers of Python and Spark 2.0 About This Book - Learn why and howyou can efficiently use Python to process data and build machine learningmodels in Apache Spark 2.0 - Develop and deploy efficient, scalable real-timeSpark solutions - Take your understanding of using Spark with Python to thenext level with this jump start guide Who This Book Is For If you are a Pythondeveloper who wants to learn about the Apache Spark 2.0 ecosystem, this bookis for you. A firm understanding of Python is expected to get the best out ofthe book. Familiarity with Spark would be useful, but is not mandatory. WhatYou Will Learn - Learn about Apache Spark and the Spark 2.0 architecture -Build and interact with Spark DataFrames using Spark SQL - Learn how to solvegraph and deep learning problems using GraphFrames and TensorFramesrespectively - Read, transform, and understand data and use it to trainmachine 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 In Detail Apache Spark is anopen sou

Author

Lee, Denny & Drabas, Tomasz

Publisher

Packt Publishing - ebooks Account

Published

2017

Language

EN

ISBN

9781786463708

Subjects

Science, Computer Science, Stem