Ramkumar leads the News Search backend team at the Bloomberg R&D office in London. He joined Bloomberg from his university in India and has been with the News R&D team for eight years now. Ramkumar started working with Apache Solr/Lucene three years back, and is now a committer with the project usually curious about Solr’s search distribution, architecture and cloud functionality. Ramkumar considers himself a Linux evangelist, and is one of those weird geeky creatures who considers Lisp beautiful and believes that Emacs is an operating system.
Talks I've Given
BUILDING A REAL-TIME NEWS SEARCH ENGINE
Featuring Ramkumar Aiyengar
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...data solr search low-latency
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