Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Scaling Apache Solr

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

Arrow left icon
Product type Paperback
Published in Jul 2014
Publisher
ISBN-13 9781783981748
Length 298 pages
Edition 1st Edition
Languages
Tools
Concepts
Arrow right icon
Author (1):
Arrow left icon
Hrishikesh Vijay Karambelkar Hrishikesh Vijay Karambelkar
Author Profile Icon Hrishikesh Vijay Karambelkar
Hrishikesh Vijay Karambelkar
Arrow right icon
View More author details
Toc

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

Advanced analytics with Solr


Apache Solr provides excellent searching capabilities on the metadata. It is also possible to go beyond a search and faceting through the integration space. As the search industry grows to the next generation, the expectations to go beyond basic search have led to Apache Solr-like software that is capable of providing excellent browsing and filtering experience. It provides basic analytical capabilities. However, for many organizations, this is not sufficient. They would like to bring in capabilities of business intelligence and analytics on top of search engines. Today, it's possible to compliment Apache Solr with such advanced analytical capabilities. We will be looking at enabling Solr integration with R.

R is an open source language and environment for statistical computing and graphics. More information about R can be found at http://www.r-project.org/. Development of R started in 1994 as an alternative to SAS, SPSS, and other proprietary statistical environments...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image