Badrish Chandramouli is a senior researcher in the database group at Microsoft Research. He is broadly interested in creating technologies to perform near-real-time and offline big data analytics for Cloud applications. Since 2008, Badrish has been working on the streams project – this work shipped commercially in 2010 as the Microsoft StreamInsight engine. His current project, Trill, is a new analytics engine that is being widely used at Microsoft, for example, in the Bing advertising platform and as part of the public-facing Azure Stream Analytics service (see MSR’s blog post for more information).
My main ongoing research projects include:
- Trill: Since early 2012 when he started the Trill project with colleagues, Badrish has been working on building Trill as a .NET based high-performance incremental analytics engine. Trill is a library with a new architecture that provides best-of-breed or better performance across a diverse range of analytics styles and latency needs. As described in this blog post from MSR, Trill is widely used within Microsoft, for example, in the Bing advertising platform and as part of the public-facing Azure Stream Analytics service.
- Tempe: Tempe is a visual Web-based analytics environment for ad-hoc real-time and offline analytics. Part of the big data user experience project, Tempe provides a rich environment for authoring Trill logic and visualizing it, and at the same time makes it easy to deploy the logic into any Cloud application.