Book Image

Scaling Big Data with Hadoop and Solr, Second Edition

By : Hrishikesh Vijay Karambelkar
Book Image

Scaling Big Data with Hadoop and Solr, Second Edition

By: Hrishikesh Vijay Karambelkar

Overview of this book

Table of Contents (13 chapters)
Scaling Big Data with Hadoop and Solr Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 4. Big Data Search Using Hadoop and Its Ecosystem

Sometime back, Gartner (http://www.gartner.com/newsroom/id/2304615) published an executive program survey report, which revealed that big data and analytics are among the top 10 business priorities for CIOs; similarly, analytics and BI are also at the top of CIO's Technical Priorities. Big data presents three major concerns for any organization: namely the storage of big data, data access or querying, and data analytics. Apache Hadoop provides an excellent implementation framework for the organizations looking to solve these problems. Similarly, there is other software that provides efficient storage and access to big data, such as Apache Cassandra and R Statistical. In this chapter, we will explore the possibilities of Apache Solr in working with big data.

We have already discussed a scaling search with SolrCloud in the previous chapters. In this chapter, we will be focusing on the following topics:

  • Understanding NoSQL

  • Working with...