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Learning Apache Spark 2

You're reading from Learning Apache Spark 2 A beginner's guide to real-time Big Data processing using the Apache Spark framework

Product type Paperback

Published in Mar 2017

Publisher Packt

ISBN-13 9781785885136

Length 356 pages

Edition 1st Edition

Languages

Python

Tools

Apache Spark

Concepts

Big Data

Author (1):

Muhammad Asif Abbasi

View More author details

Table of Contents (12) Chapters

Preface

1. Architecture and Installation FREE CHAPTER

2. Transformations and Actions with Spark RDDs

3. ETL with Spark

4. Spark SQL

5. Spark Streaming

6. Machine Learning with Spark

7. GraphX

8. Operating in Clustered Mode

9. Building a Recommendation System

10. Customer Churn Prediction

Theres More with Spark

GraphFrames

Having seen GraphX over the course of this chapter, have you not wondered what happened to DataFrame? If you are reading/following this book cover to cover, you might be asking yourself why is there a switch between RDD and the DataFrame API? We saw that DataFrame has become the primary API for Spark, and all new optimizations can only be benefitted from if you are using a DataFrame API, so why is there no DataFrame API for GraphX?

Well the reality is that there is a lot of focus on GraphFrames, which is the DataFrame based API for graphs in Spark. There are certain motivations to have a DataFrame based API for Spark and some of these stem from some shortcomings of GraphX.

Why GraphFrames?

GraphX poses certain challenges, for example:

Supports Scala only: The promise of Spark lies in the fact that you can have the same set of algorithms available to a wide variety of users, who can program in Java, Scala, Python, or R. GraphX only supports Scala API. This is a serious limitation...

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Authors (1)

Abbasi

Abbasi

Muhammad Asif Abbasi has worked in the industry for over 15 years in a variety of roles from engineering solutions to selling solutions and everything in between. Asif is currently working with SAS a market leader in Analytic Solutions as a Principal Business Solutions Manager for the Global Technologies Practice. Based in London, Asif has vast experience in consulting for major organizations and industries across the globe, and running proof-of-concepts across various industries including but not limited to telecommunications, manufacturing, retail, finance, services, utilities and government. Asif is an Oracle Certified Java EE 5 Enterprise architect, Teradata Certified Master, PMP, Hortonworks Hadoop Certified developer, and administrator. Asif also holds a Master's degree in Computer Science and Business Administration.

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