Building a real-time news search engine

Session Category :  Talk 
April 28, 2017
11:00  -  11:45

What challenges could a search engine have? Large number of documents? Large query load? Very complex queries? A challenging privileging model? Expected low query latency? High volume of document updates? Updates to documents reflected in milliseconds? Realtime alerting for any search? Absolutely no downtime any time of the day, week or year? What if a search engine had all these challenges?

Meet the backend which drives News Search at Bloomberg LP. In this talk, Ramkumar Aiyengar talks about how he and his colleagues successfully pushed Solr over the last few years to unchartered territories, to deliver a real-time search engine critical to the workflow of hundreds of thousands of customers worldwide.

Keywords: Big Data, Solr

Session Category :  Talk