Kudu with Todd Lipcon
“If you have an architecture where you’re trying to periodically trying to dump from one system to the other and synchronize, you can simplify your life quite a bit by just putting your data in this storage system called Kudu.”
Kudu is an open-source storage engine for the Hadoop ecosystem. It balances the advantages of both HDFS and HBase, by allowing for performant random-access queries while also providing fast writes and scans for analytics.
Todd Lipcon is a software engineer at Cloudera who leads the development of Kudu.
Questions
- What are some typical uses cases for HDFS and HBase?
- What are the downsides to using binary formats like Apache Parquet?
- What is the difference between a database and a storage system?
- Why are replication and consensus so important to a Hadoop cluster?
- How does Kudu encourage better CPU efficiency?
- What do you see as the future of the Hadoop ecosystem?
