In this chapter, we have discussed different ways in which Apache Solr can be scaled to work with big data/large datasets. We looked at different implementations of Solr-big data such as Solr-HDFS, Katta, Solr-1045, Solr-1301, and Apache Solr with Cassandra. We also looked at advanced analytics by integrating Apache Solr with R. In the next chapter, we will focus on improving the performance for big data.
Scaling Big Data with Hadoop and Solr, Second Edition
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Scaling Big Data with Hadoop and Solr, Second Edition
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Scaling Big Data with Hadoop and Solr, Second Edition
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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