Traditional relational databases allow users to define a strict data structure, and use an SQL-based querying mechanism. NoSQL databases, rather than confining users to define the data structures, allow an open database with which they can store any kind of data and retrieve it by running queries that are not SQL based. In an enterprise, data is generated from all the software used in day-to-day operations. This data has different formats, and bringing in this data for big-data processing requires for a storage system that is flexible enough, to accommodate data with varying data models. The NoSQL database, by design is best suited for such storage.
Scaling Big Data with Hadoop and Solr, Second Edition
By :
Scaling Big Data with Hadoop and Solr, Second Edition
By:
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
Free Chapter
Processing Big Data Using Hadoop and MapReduce
Understanding Apache Solr
Enabling Distributed Search using Apache Solr
Big Data Search Using Hadoop and Its Ecosystem
Scaling Search Performance
Use Cases for Big Data Search
Index
Customer Reviews