Building the news search engine, by Ramkumar Aiyengar, Bloomberg
This talk provides an insight into the challenges involved in providing near real-time news search to Bloomberg customers. Our News team is in the process of migrating to using Solr/Lucene as its search and alerting backend. This talk starts with a picture of what’s involved in building such a backend, then delves into what makes up a search engine, and then discusses the challenges of scaling up for low-latency and high-load.
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 7 years now. For the last couple of years, his team has focussed on rewriting almost the entire search/alert backend, used by almost every Bloomberg user to get near-real time access to news with sub-second latencies. A geek at heart, he considers himself a Linux evangelist, an open source enthusiast, and one of those weird creatures who believes that Emacs is an operating system and had once got his music player and playlists to be controlled through a library written in Lisp.
- When: 3rd March 2015 14:00 - 15:00
- Where: Cole 1.33
- Series: CS Colloquia Series, School Seminar Series
- Format: Seminar, Talk