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Big Data Analytics

You're reading from Big Data Analytics Real time analytics using Apache Spark and Hadoop

Product type Paperback

Published in Sep 2016

Publisher Packt

ISBN-13 9781785884696

Length 326 pages

Edition 1st Edition

Tools

Hadoop

Concepts

Big Data

Author (1):

Venkat Ankam

View More author details

Table of Contents (12) Chapters

Preface

1. Big Data Analytics at a 10,000-Foot View

2. Getting Started with Apache Hadoop and Apache Spark FREE CHAPTER

3. Deep Dive into Apache Spark

4. Big Data Analytics with Spark SQL, DataFrames, and Datasets

5. Real-Time Analytics with Spark Streaming and Structured Streaming

6. Notebooks and Dataflows with Spark and Hadoop

7. Machine Learning with Spark and Hadoop

8. Building Recommendation Systems with Spark and Mahout

9. Graph Analytics with GraphX

10. Interactive Analytics with SparkR

Index

Installing Hadoop plus Spark clusters

Before installing Hadoop and Spark, let's understand the versions of Hadoop and Spark. Spark is offered as a service in all three popular Hadoop distributions from Cloudera, Hortonworks, and MapR. The current Hadoop and Spark versions are 2.7.2 and 2.0 respectively as of writing this book. However, Hadoop distributions might have a lower version of Spark as Hadoop and Spark release cycles do not coincide.

For the upcoming chapters' practical exercises, let's use one of the free virtual machines (VM) from Cloudera, Hortonworks, and MapR, or use an open source version of Apache Spark. These VMs makes it easy to get started with Spark and Hadoop. The same exercises can be run on bigger clusters as well.

The prerequisites to use virtual machines on your laptop are as follows:

RAM of 8 GB and above
At least two virtual CPUs
The latest VMWare Player or Oracle VirtualBox must be installed for Windows or Linux OS
The latest Oracle VirtualBox or VMWare...

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Big Data Analytics

Published in: Sep 2016

Publisher: Packt

ISBN-13: 9781785884696

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Authors (1)

Venkat Ankam

Venkat Ankam

Venkat Ankam has over 18 years of IT experience and over 5 years in big data technologies, working with customers to design and develop scalable big data applications. Having worked with multiple clients globally, he has tremendous experience in big data analytics using Hadoop and Spark. He is a Cloudera Certified Hadoop Developer and Administrator and also a Databricks Certified Spark Developer. He is the founder and presenter of a few Hadoop and Spark meetup groups globally and loves to share knowledge with the community. Venkat has delivered hundreds of trainings, presentations, and white papers in the big data sphere. While this is his first attempt at writing a book, many more books are in the pipeline.

See other products by Venkat Ankam

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