Kudu with Todd Lipcon
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“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?
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