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

Product typeBook

Published inApr 2015

Publisher

ISBN-139781783553396

Edition1st Edition

Tools

Solr Hadoop

Concepts

Big Data

Author (1)

Hrishikesh Vijay Karambelkar

Summary

In this chapter, we have covered various ways of optimizing Apache Solr and Hadoop instances. We started by reviewing the schema optimization and optimizing the index. We also looked at optimizing the container, and the search runtime, to speed up the overall process. We reviewed optimizing Hadoop instances. Finally, we looked at different ways of monitoring the Solr instances for performance.

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Scaling Big Data with Hadoop and Solr, Second Edition

Published in: Apr 2015Publisher: ISBN-13: 9781783553396

Author (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.
Read more about Hrishikesh Vijay Karambelkar

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

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