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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

2. Transformations and Actions with Spark RDDs FREE CHAPTER

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

Summary

In this chapter, we have gone through a Spark architecture overview, written our first Spark program, looked at the software components of Spark, and ran a Spark application. This provides a solid foundation to move to the next chapter where we will discuss Spark RDDs, which is one of the most important constructs of Apache Spark.

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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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