Solr at Scale for Time-Oriented Data

As we countdown to the annual Lucene/Solr Revolution conference in Boston this October, we’re highlighting talks and sessions from past conferences. Today, we’re highlighting Brett Hoerner’s talk, “Solr at Scale for Time-Oriented Data”.

This talk will go over tricks used to index, prune, and search over large (>10 billion docs) collections of time-oriented data, and how to migrate collections when inevitable changes are required.

Brett Hoerner lives in Austin, TX and is an Infrastructure Engineer at Rocana where they are helping clients control their global-scale modern infrastructure using big data and machine learning techniques. He began using SolrCloud in 2012 to index the Twitter firehose at Spredfast, where the collection eventually grew to contain over 150 billion documents. He is primarily interested in the performance and operation of distributed systems at scale.

Join us at Lucene/Solr Revolution 2016, the biggest open source conference dedicated to Apache Lucene/Solr on October 11-14, 2016 in Boston, Massachusetts. Come meet and network with the thought leaders building and deploying Lucene/Solr open source search technology. Full details and registration…