
70: The Difference Between Data Lakes and Data Warehouses with Vinoth Chandar of Apache Hudi
This week on The Data Stack Show, Eric and Kostas chat with Vinoth Chandar, Creator of the Hudi Project at the Apache Software Foundation. During the episode, Vinosh discusses his experiences building data lakes at companies like LinkedIn, Uber, and Confluent. He also gets into the differences between datalakes and warehouses, and when going open source makes sense.
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Show Notes
Highlights from this week’s conversation include:
- Vinoth’s career background (3:19)
- Building a data lake at Uber (6:52)
- Defining what a data lake is (14:01)
- How data warehouses differ from data lakes (22:46)
- When you should utilize an open source solution in your datastack (37:36)
- Evolving from a data warehouse to a data lake (45:09)
- Early wins Hudi earned inside of Uber (52:30)
The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
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