The data lake architecture has become broadly adopted in a relatively short period of time. In a nutshell, that means data in it’s raw format stored in cloud object storage. Modern software and data engineers have no shortage of options for accessing their data lake, but that list shrinks quickly if you care about features like transactions. Apache Hudi is a platform for building streaming data lakes that is optimized for lake engines and batch processing. In this episode, I interview Vinoth Chandar, creator of the Hudi Project and Founder and CEO at Onehouse.
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