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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 Understand, design, build, and optimize your big data search engine with Hadoop and Apache Solr

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Product type Paperback
Published in Apr 2015
Publisher
ISBN-13 9781783553396
Length 166 pages
Edition 1st Edition
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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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Toc

E-Commerce websites

E-Commerce websites are meant to work for different types of users. These users visit the websites for multiple reasons:

  • Visitors are looking for something specific, but they find it difficult to describe
  • Visitors are looking for a specific price/features of a product
  • Visitors come looking for good discounts, to see what's new, and so on
  • Visitors wish to compare multiple products on the basis of cost/features/reviews

Most e-commerce websites used to be built on custom developed pages, which ran on a SQL database. Although a database provides excellent capabilities to manage your data structurally, it does not provide high speed searches and facets as it does in Solr. In addition to this, it becomes difficult to keep up with the queries for high performance. As the size of data grows, it hampers the overall speed and user experience.

Apache Solr in a distributed scenario provides excellent offerings in terms of a browsing and searching experience. Solr can easily integrate...

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