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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

Commonly supported file systems

Until now we have mostly focused on the functional aspects of Spark and hence tried to move away from the discussion of filesystems supported by Spark. You might have seen a couple of examples around HDFS, but the primary focus has been local file systems. However, in production environments, it will be extremely rare that you will be working on a local filesystem and chances are that you will be working with distributed file systems such as HDFS and Amazon S3.

Working with HDFS

Hadoop Distributed File System (HDFS) is a distributed, scalable, and portable filesystem written in Java for the Hadoop framework. HDFS provides the ability to store large amounts of data across commodity hardware and companies are already storing massive amounts of data on HDFS by moving it off their traditional database systems and creating data lakes on Hadoop. Spark allows you to read data from HDFS in a very similar way that you would read from a typical filesystem, with...

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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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