Scaling Big Data with Hadoop and Solr
By Hrishikesh Vijay Karambelkar
Publisher: Packt Publishing
Final Release Date: August 2013
Pages: 144

In Detail

As data grows exponentially day-by-day, extracting information becomes a tedious activity in itself. Technologies like Hadoop are trying to address some of the concerns, while Solr provides high-speed faceted search. Bringing these two technologies together is helping organizations resolve the problem of information extraction from Big Data by providing excellent distributed faceted search capabilities.

Scaling Big Data with Hadoop and Solr is a step-by-step guide that helps you build high performance enterprise search engines while scaling data. Starting with the basics of Apache Hadoop and Solr, this book then dives into advanced topics of optimizing search with some interesting real-world use cases and sample Java code.

Scaling Big Data with Hadoop and Solr starts by teaching you the basics of Big Data technologies including Hadoop and its ecosystem and Apache Solr. It explains the different approaches of scaling Big Data with Hadoop and Solr, with discussion regarding the applicability, benefits, and drawbacks of each approach. It then walks readers through how sharding and indexing can be performed on Big Data followed by the performance optimization of Big Data search. Finally, it covers some real-world use cases for Big Data scaling.

With this book, you will learn everything you need to know to build a distributed enterprise search platform as well as how to optimize this search to a greater extent resulting in maximum utilization of available resources.

Approach

This book is a step-by-step tutorial that will enable you to leverage the flexible search functionality of Apache Solr together with the Big Data power of Apache Hadoop.

Who this book is for

Scaling Big Data with Hadoop and Solr provides guidance to developers who wish to build high-speed enterprise search platforms using Hadoop and Solr. This book is primarily aimed at Java programmers who wish to extend the Hadoop platform to make it run as an enterprise search without any prior knowledge of Apache Hadoop and Solr.

Product Details
Recommended for You
Customer Reviews

REVIEW SNAPSHOT®

by PowerReviews
oreillyScaling Big Data with Hadoop and Solr
 
5.0

(based on 1 review)

Ratings Distribution

  • 5 Stars

     

    (1)

  • 4 Stars

     

    (0)

  • 3 Stars

     

    (0)

  • 2 Stars

     

    (0)

  • 1 Stars

     

    (0)

Reviewed by 1 customer

Displaying review 1

Back to top

 
5.0

Nice read..good handbook

By John Andrews

from LA

About Me Developer

Verified Reviewer

Pros

  • Accurate
  • Easy to understand
  • Helpful examples
  • Technical Depth
  • Well-written

Cons

  • More Practical Examples

Best Uses

  • Expert
  • Intermediate
  • Novice
  • Student

Comments about oreilly Scaling Big Data with Hadoop and Solr:

This book is nice for the readers who would like to work on hadoop and solr integration. Starting with basics, it takes you to most advance topics seemlessly.

Displaying review 1

Back to top

 
Buy 2 Get 1 Free Free Shipping Guarantee
Buying Options
Immediate Access - Go Digital what's this?
Ebook: $26.99
Formats:  ePub, Mobi, PDF