In this chapter, we discussed the need for Apache Hadoop to address the challenging problems faced by today's world. We looked at Apache Hadoop and its ecosystem, and we focused on how to configure Apache Hadoop, followed by running it. Finally, we created Hadoop clusters by using a simple set of instructions. The next chapter is all about Apache Solr, which has brought a revolution in the search and analytics domain.
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