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

Todd Lipcon
Engineer, Cloudera

Website | @tlipcon

Todd Lipcon is an engineer at Cloudera, where he has been leading the development of Kudu since 2012. Prior to starting the Kudu project, Todd designed and developed several major features across the Hadoop ecosystem, including highly-available metadata journaling (QJM) and automatic failover for HDFS. Todd is a PMC member and committer on Hadoop and HBase as well as a Member of the Apache Software Foundation. Todd received his bachelor’s degree with honors from Brown University.

Sessions

11:00am–11:40am Wednesday, 12/02/2015
Hadoop Platform
Location: 334-335 Level: Intermediate
Tags: featured
Todd Lipcon (Cloudera)
Average rating: ****.
(4.33, 6 ratings)
This session will investigate the trade-offs between real-time transactional access and fast analytic performance in Hadoop from the perspective of storage engine internals. We will discuss recent advances, evaluate benchmark results from current generation Hadoop technologies, and propose potential ways ahead for the Hadoop ecosystem to conquer its newest set of challenges. Read more.
4:00pm–4:40pm Wednesday, 12/02/2015
Office Hours
Location: Table A (Office Hours)
Todd Lipcon (Cloudera)