Search engines have come a long way, from relative obscurity as niche products only used to address full-text search problems, to general purpose full fledged members of the NoSQL gang that developers turn to first to help solve a great variety of problems.
This talk will cover how search and Solr have become a critical part of the Hadoop stack, and have also emerged as one of the highest-performing solutions for analytics over big data.
We’ll also cover new analytics capabilities in Apache Solr that marry full-text search, faceted search, statistics, and grouping, joining into a powerful engine for powering next-generation big data analytics applications.
Yonik Seeley is the creator of Solr. He works at Cloudera integrating and leveraging “big search” technologies into the many components comprising the Cloudera Enterprise Data Hub (EDH). Yonik was previously chief open source architect and cofounder at LucidWorks.
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