Presented By O'Reilly and Cloudera
Make Data Work
December 1–3, 2015 • Singapore
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

1:30pm–2:10pm Wednesday, 12/02/2015
Data-driven Business
Location: 331 Level: Intermediate
Tags: featured
Shirshanka Das (LinkedIn)
Average rating: ****.
(4.43, 21 ratings)
LinkedIn describes how they’ve built a self-serve petabyte-scale reporting platform centered around Hadoop, that powers all business decision making at LinkedIn. We describe how we overcame challenges to scale to over a thousand analysts, over a thousand metrics, and provide daily, hourly, as well as real-time reports. This has reduced turnaround times for dashboards from weeks to a few hours. Read more.