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PySpark for Beginners
PySpark for Beginners

PySpark for Beginners: Take your first steps in developing large-scale distributed data processing applications using Apache Spark and Python

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Profile Icon Tomasz Drabas
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€18.99 per month
Video Jun 2018 1hr 34mins 1st Edition
Video
€111.99
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Renews at €18.99p/m
Arrow left icon
Profile Icon Tomasz Drabas
Arrow right icon
€18.99 per month
Video Jun 2018 1hr 34mins 1st Edition
Video
€111.99
Subscription
Free Trial
Renews at €18.99p/m
Video
€111.99
Subscription
Free Trial
Renews at €18.99p/m

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Key benefits

  • 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.
  • Take your understanding of using Spark with Python to the next level with this jump start guide.

Description

Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. This course 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 course, you will have established a firm understanding of the Spark Python API and how it can be used to build data-intensive applications. All the code and supporting files for this course are available on Github at https://github.com/PacktPublishing/PySpark-for-Beginners

Who is this book for?

If you are a Python developer who wants to learn about the Apache Spark 2.0 ecosystem, this course is for you. A firm understanding of Python is expected to get the best out of the book. Familiarity with Spark would be useful, but is not mandatory.

What you will learn

  • Learn about Apache Spark and the Spark 2.0 architecture
  • Build and interact with Spark DataFrames using Spark SQL
  • Read, transform, and understand data and use it to train machine learning models
  • Build machine learning models with MLlib and ML

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Jun 28, 2018
Length: 1hr 34mins
Edition : 1st
Language : English
ISBN-13 : 9781789538762
Category :
Languages :

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Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
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Product Details

Publication date : Jun 28, 2018
Length: 1hr 34mins
Edition : 1st
Language : English
ISBN-13 : 9781789538762
Category :
Languages :

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Frequently bought together


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PySpark for Beginners
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Table of Contents

6 Chapters
Understanding Spark Chevron down icon Chevron up icon
Resilient Distributed Datasets Chevron down icon Chevron up icon
DataFrames Chevron down icon Chevron up icon
Prepare Data for Modeling Chevron down icon Chevron up icon
Introducing MLlib Chevron down icon Chevron up icon
Introducing the ML Package Chevron down icon Chevron up icon
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