Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Kapil Surlaker

Kapil Surlaker
Senior Director of Engineering, LinkedIn

Website | @kapilsurlaker

Kapil Surlaker leads the data and analytics team at LinkedIn, where he’s responsible for core analytics infrastructure platforms, including Hadoop, Spark, computation frameworks like Gobblin and Pinot, an OLAP serving store, and XLNT, LinkedIn’s experimentation platform. Previously, Kapil led the development of Databus, a database change capture platform that forms the backbone of LinkedIn’s online data ecosystem; Espresso, a distributed document store that powers many applications on the site; and Helix, a generic cluster management framework that manages multiple infrastructure deployments at LinkedIn. Prior to LinkedIn, Kapil held senior technical leadership positions at Kickfire (acquired by Teradata) and Oracle. Kapil holds a BTech in computer science from IIT Bombay and an MS from the University of Minnesota.

Sessions

4:20pm–5:00pm Wednesday, March 7, 2018
If you can’t measure it, you can’t improve it: How reporting and experimentation fuel product innovation at LinkedIn
Data-driven business management, Strata Business Summit
 Location: 210 D/H
Kapil Surlaker (LinkedIn), Ya Xu (LinkedIn)
Average rating: *****
(5.00, 3 ratings)
Metrics measurement and experimentation play crucial roles in every product decision at LinkedIn. Kapil Surlaker and Ya Xu explain why, to meet the company's needs, LinkedIn built the UMP and XLNT platforms for metrics computation and experimentation, respectively, which have allowed the company to perform measurement and experimentation very efficiently at scale while preserving trust in data. Read more.