Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY
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

2:05pm2:45pm Wednesday, September 27, 2017
Data Engineering & Architecture, Real-time applications
Location: 1A 23/24 Level: Intermediate
Secondary topics:  Streaming
Todd Lipcon (Cloudera)
Average rating: *****
(5.00, 3 ratings)
To date, mutable big data storage has primarily been the domain of nonrelational (NoSQL) systems such as Apache HBase. However, demand for real-time analytic architectures has led big data back to a familiar friend: relationally structured data storage systems. Todd Lipcon explores the advantages of relational storage and reviews new developments, including Google Cloud Spanner and Apache Kudu. Read more.