Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY
Shirshanka Das

Shirshanka Das
Principal Staff Software Engineer and Architect, LinkedIn

Shirshanka Das is a principal staff software engineer and the architect for LinkedIn’s analytics platforms and applications team. He was among the original authors of a variety of open and closed source projects built at LinkedIn, including Databus, Espresso, and Apache Helix. He is currently working with his team to simplify the big data analytics space at LinkedIn through a multitude of mostly open source projects, including Pinot, a high-performance distributed OLAP engine, Gobblin, a data lifecycle management platform for Hadoop, WhereHows, a data discovery and lineage platform, and Dali, a data virtualization layer for Hadoop.

Sessions

2:55pm–3:35pm Wednesday, 09/28/2016
Data-driven business
Location: 3D 12 Level: Intermediate
Shirshanka Das (LinkedIn), Yael Garten (LinkedIn)
Average rating: ****.
(4.73, 11 ratings)
Shirshanka Das and Yael Garten describe how LinkedIn redesigned its data analytics ecosystem in the face of a significant product rewrite, covering the infrastructure changes, such as client-side activity tracking, a unified reporting platform, and data virtualization techniques to simplify migration, that enable LinkedIn to roll out future product innovations with minimal downstream impact. Read more.