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Apache Solr for Indexing Data
book

Apache Solr for Indexing Data

by Sachin Handiekar, Anshul Johri
December 2015
Intermediate to advanced
160 pages
2h 50m
English
Packt Publishing

Overview

Dive into the world of Apache Solr with this focused guide on indexing. Learn to harness Solr's powerful indexing features through real-world examples that help you efficiently fetch relevant data. From setting up Solr to mastering advanced techniques, this book ensures you are equipped to program and optimize Solr for a variety of applications.

What this Book will help me do

  • Gain a solid understanding of Solr indexing, analyzers, and tokenizers.
  • Index diverse data sources, such as databases and documents, using Solr.
  • Utilize Apache Tika to process PDFs and integrate Apache Nutch for web crawling.
  • Implement distributed data indexing and facilitate real-time index updates.
  • Apply learned indexing techniques to create robust solutions like e-commerce applications.

Author(s)

None Handiekar and None Johri are seasoned Apache Solr experts with years of practical experience. Having worked on diverse projects, they bring an enriched understanding of indexing and optimization. Their writing reflects a hands-on approach aimed at developers keen on mastering Solr effectively and efficiently.

Who is it for?

This book is designed for developers who are new to Solr yet aspire to deepen their understanding of its indexing capabilities. If you are interested in learning how to index using Solr's rich set of functionalities, this guide is for you. It provides practical steps for developers at an introductory level to start building more complex solutions. Perfect for developers eager to optimize their Solr indexing.

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Publisher Resources

ISBN: 9781783553235