Episode description
Topics in this wide-ranging conversation include:
- Tristan’s background with Cloudera and the need for continual operational ML and AI (3:15)
- How the complexity of Continual is hidden behind a simplicity of use (14:48)
- Focusing on data that lives within a data warehouse (18:43)
- Understanding features in the ML conversation (22:47)
- The three layers of Continual (26:11)
- The importance of SQL to Continual (30:19)
- Caching layers and the data warehouse centric approach (38:28)
- Betting on the warehouse being a central component of data stack architecture (43:34)
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.
RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.