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Scaling Apache Solr

You're reading from   Scaling Apache Solr Optimize your searches using high-performance enterprise search repositories with Apache Solr

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Product type Paperback
Published in Jul 2014
Publisher
ISBN-13 9781783981748
Length 298 pages
Edition 1st Edition
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Concepts
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Author (1):
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Hrishikesh Vijay Karambelkar Hrishikesh Vijay Karambelkar
Author Profile Icon Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
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Table of Contents (13) Chapters Close

Preface 1. Understanding Apache Solr FREE CHAPTER 2. Getting Started with Apache Solr 3. Analyzing Data with Apache Solr 4. Designing Enterprise Search 5. Integrating Apache Solr 6. Distributed Search Using Apache Solr 7. Scaling Solr through Sharding, Fault Tolerance, and Integration 8. Scaling Solr through High Performance 9. Solr and Cloud Computing 10. Scaling Solr Capabilities with Big Data A. Sample Configuration for Apache Solr Index

Designing aspects for enterprise search

Every business day, employees need to access information stored in various enterprise applications and databases. Employees want one entrance to all corporate information. They often perceive the company intranet as one fuzzy cloud of information, while in reality it is a set of highly isolated information silos. Enterprise search is meant to address this need by providing access to relevant information, consolidating all the results, and presenting it properly. How does one achieve this? The larger the organization, the more divergent is its information access needs. Implementing enterprise search in organizations must follow a well-established process to build a mature, usable application. The process of implementation of enterprise search requires the following aspects:

  • Identifying and establishing the business requirement
  • Identifying the right set of technologies
  • Proof of Concept using the technologies
  • Implementation of enterprise search solution...
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