Sep 23–26, 2019
Badrish Chandramouli

Badrish Chandramouli
Principal Researcher, Microsoft Research

Website

Badrish Chandramouli is a principal researcher in the database group at Microsoft Research. He is interested in creating technologies to perform real-time and offline big and raw data processing, as well as resilient state management and computation for cloud and edge applications. His research work first shipped in 2010 as part of the Microsoft SQL Server StreamInsight engine. Starting 2012, Badrish has been working on Trill, a streaming analytics engine that is widely used at Microsoft, for example, in the Bing ads platform and in the Azure Stream Analytics cloud service. More recently, Badrish built FASTER, a high-performance embedded, resilient, and concurrent state store and cache that supports larger-than-memory data and is optimized for streaming analytics. He has also worked on simplifying distributed computing via frameworks such as Ambrosia and CRA.

Sessions

4:35pm5:15pm Wednesday, September 25, 2019
Location: 1A 15/16
James Terwilliger (Microsoft Corporation), Badrish Chandramouli (Microsoft Research), Jonathan Goldstein (Microsoft Research)
Trill has been open-sourced, making the streaming engine behind services like the multi-billion-dollar Bing Ads platform available for all to use and extend. We give a brief history of streaming data at Microsoft and lessons learned. We then demonstrate how its API can power complex application logic, and the performance that gives the engine its name: a trillion events per day per node. Read more.

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