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Scaling Big Data with Hadoop and Solr, Second Edition

You're reading from Scaling Big Data with Hadoop and Solr, Second Edition

Product type Book

Published in Apr 2015

Publisher

ISBN-13 9781783553396

Pages 166 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Hrishikesh Vijay Karambelkar

Table of Contents (13) Chapters

Scaling Big Data with Hadoop and Solr Second Edition

Credits

About the Author

About the Reviewers

www.PacktPub.com

Preface

1. Processing Big Data Using Hadoop and MapReduce

2. Understanding Apache Solr

3. Enabling Distributed Search using Apache Solr

4. Big Data Search Using Hadoop and Its Ecosystem

5. Scaling Search Performance

Use Cases for Big Data Search

Index

Scaling Solr through Storm

Apache Storm is a real time distributed computation framework. It processes humongous data in real time. Recently, Storm has been adapted by Apache as the incubating project and the development for Apache Storm. You can read more information about Apache Storm Features here: http://storm.incubator.apache.org/.

Apache Storm can be used to process massive streams of data in a distributed manner. It therefore provides excellent batch-oriented processing capabilities for time-sensitive analytics. With Apache Solr and Storm together, organizations can process big data in real time: for example, such industrial plants that would like to extract information from their plant system, which is emitting raw data continuously, and process it to facilitate real-time analytics such as identifying the top problematic systems or looking for recent errors/failures. Apache Solr and Storm can work together to execute such batch processing for big data in real time.

Apache Storm runs...

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Authors (1)

Hrishikesh Vijay Karambelkar

Hrishikesh Vijay Karambelkar is an innovator and an enterprise architect with 16 years of software design and development experience, specifically in the areas of big data, enterprise search, data analytics, text mining, and databases. He is passionate about architecting new software implementations for the next generation of software solutions for various industries, including oil and gas, chemicals, manufacturing, utilities, healthcare, and government infrastructure. In the past, he has authored three books for Packt Publishing: two editions of Scaling Big Data with Hadoop and Solr and one of Scaling Apache Solr. He has also worked with graph databases, and some of his work has been published at international conferences such as VLDB and ICDE.

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