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Real-Time Big Data Analytics

You're reading from Real-Time Big Data Analytics Design, process, and analyze large sets of complex data in real time

Product type Paperback

Published in Feb 2016

Publisher

ISBN-13 9781784391409

Length 326 pages

Edition 1st Edition

Languages

Java

Tools

Apache Spark

Concepts

Big Data

Author (1):

Shilpi Saxena

View More author details

Table of Contents (12) Chapters

Preface

1. Introducing the Big Data Technology Landscape and Analytics Platform FREE CHAPTER

2. Getting Acquainted with Storm

3. Processing Data with Storm

4. Introduction to Trident and Optimizing Storm Performance

5. Getting Acquainted with Kinesis

6. Getting Acquainted with Spark

7. Programming with RDDs

8. SQL Query Engine for Spark – Spark SQL

9. Analysis of Streaming Data Using Spark Streaming

10. Introducing Lambda Architecture

Index

Writing and executing our first Spark program

In this section, we will install/configure and write our first Spark program in Java and Scala.

Hardware requirements

Spark supports a variety of hardware and software platforms. It can be deployed on commodity hardware and also supports deployments on high-end servers. Spark clusters can be provisioned either on cloud or on-premises. Though there is no single configuration or standard, which can guide us through the requirements of Spark, to create and execute Spark examples provided in this book, it would be good to have a laptop/desktop/server with the following configuration:

RAM: 8 GB.
CPU: Dual core or Quad core.
DISK: SATA drives with a capacity of 300 GB to 500 GB with 15 k RPM.
Operating system: Spark supports a variety of platforms that include various flavors of Linux (Ubuntu, HP-UX, RHEL, and many more) and Windows. For our examples, we will recommend that you use Ubuntu for the deployment and execution of examples.

Spark core is coded...

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Authors (1)

Shilpi Saxena

Shilpi Saxena

Shilpi Saxena is an IT professional and also a technology evangelist. She is an engineer who has had exposure to various domains (machine to machine space, healthcare, telecom, hiring, and manufacturing). She has experience in all the aspects of conception and execution of enterprise solutions. She has been architecting, managing, and delivering solutions in the Big Data space for the last 3 years; she also handles a high-performance and geographically-distributed team of elite engineers. Shilpi has more than 12 years (3 years in the Big Data space) of experience in the development and execution of various facets of enterprise solutions both in the products and services dimensions of the software industry. An engineer by degree and profession, she has worn varied hats, such as developer, technical leader, product owner, tech manager, and so on, and she has seen all the flavors that the industry has to offer. She has architected and worked through some of the pioneers' production implementations in Big Data on Storm and Impala with autoscaling in AWS. Shilpi has also authored Real-time Analytics with Storm and Cassandra (https://www.packtpub.com/big-data-and-business-intelligence/learning-real-time-analytics-storm-and-cassandra) with Packt Publishing.

See other products by Shilpi Saxena

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