Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Todd Lipcon

Todd Lipcon
Engineer, Cloudera

Website | @tlipcon

Todd Lipcon is an engineer at Cloudera, where he primarily contributes to open source distributed systems in the Apache Hadoop ecosystem. Previously, he focused on Apache HBase, HDFS, and MapReduce, where he designed and implemented redundant metadata storage for the NameNode (QuorumJournalManager), ZooKeeper-based automatic failover, and numerous performance, durability, and stability improvements. In 2012, Todd founded the Apache Kudu project and has spent the last three years leading this team. Todd is a committer and PMC member on Apache HBase, Hadoop, Thrift, and Kudu, as well as a member of the Apache Software Foundation. Prior to Cloudera, Todd worked on web infrastructure at several startups and researched novel machine-learning methods for collaborative filtering. Todd holds a bachelor’s degree with honors from Brown University.

Sessions

11:00am11:40am Wednesday, March 15, 2017
Hadoop platform and applications
Location: LL21 E/F Audience level: Intermediate
Secondary topics:  Architecture
Todd Lipcon (Cloudera)
Todd Lipcon offers a very brief refresher on the goals and feature set of the Kudu storage engine, covering the development that has taken place over the last year, including new features such as improved support for time series workloads, performance improvements, Spark integration, and highly available replicated masters. Read more.
11:00am11:40am Thursday, March 16, 2017
Hadoop platform and applications
Location: LL21 E/F Audience level: Intermediate
Secondary topics:  Architecture, Streaming
Todd Lipcon (Cloudera), Marcel Kornacker (Cloudera)
Todd Lipcon and Marcel Kornacker offer an introduction to using Impala + Kudu to power your real-time data-centric applications for use cases like time series analysis (fraud detection, stream market data), machine data analytics, and online reporting. Read more.