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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

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781785885136
Length 356 pages
Edition 1st Edition
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Author (1):
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Muhammad Asif Abbasi Muhammad Asif Abbasi
Author Profile Icon Muhammad Asif Abbasi
Muhammad Asif Abbasi
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Table of Contents (12) Chapters Close

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

Chapter 1. Architecture and Installation

This chapter intends to provide and describe the big-picture around Spark, which includes Spark architecture. You will be taken from the higher-level details of the framework to installing Spark and writing your very first program on Spark.

We'll cover the following core topics in this chapter. If you are already familiar with these topics please feel free to jump to the next chapter on Spark: Resilient Distributed Datasets (RDDs):

Apache Spark architecture overview:

  • Apache Spark deployment
  • Installing Apache Spark
  • Writing your first Spark program
  • Submitting applications
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