How Bloomberg Executes Search Analytics with Apache Solr
To perform the analytics required Bloomberg developed an analytics component for Solr - here's how it works.
As we countdown to the annual Lucene/Solr Revolution conference in Austin this October, we’re highlighting talks and sessions from past conferences. Today, we’re highlighting Steven Bower’s session on how Bloomberg uses Solr for search analytics.
Search at Bloomberg is not just about text, it’s about numbers, lots of numbers. In order for our clients to research, measure and drive decisions from those numbers we must provide flexible, accurate and timely analytics tools. We decided to build these tools using Solr, as Solr provides the indexing performance, filtering and faceting capabilities needed to achieve the flexibility and timeliness required by the tools. To perform the analytics required we developed an Analytics component for Solr. This talk will cover the Analytics Component that we built at Bloomberg, some use cases that drove it and then dive into features/functionality it provides.
Steven Bower has worked for 15 years in the web/enterprise search industry. First as part of the R&D and Services teams at FAST Search and Transfer, Inc. and then as a principal engineer at Attivio, Inc. He has participated/lead the delivery of hundreds of search applications and now leads the search infrastructure team at Bloomberg LP, providing a search as a service platform for 80+ applications.
Join us at Lucene/Solr Revolution 2015, the biggest open source conference dedicated to Apache Lucene/Solr on October 13-16, 2015 in Austin, Texas. Come meet and network with the thought leaders building and deploying Lucene/Solr open source search technology. Full details and registration…
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