55: Tables vs. Streams and Defining Real-Time with Pete Goddard of Deephaven Data Labs

Highlights from this week’s conversation include:

• Pete’s background in data engineering and capital market trading (2:10)
• Comparison of the tooling from 2012 when Deephaven started with that of today (10:30)
• Taking a closer look at defining real-time data (19:47)
• Getting non-technical people, clients, and developers all on the same platform (36:11)
• Deephaven’s incremental update model (40:25)
• Kafka, timely data flow, and Deephaven (44:22)
• Use cases for Deephaven (51:52)
• Going to GitHub to try out Deephaven (1:02:43)

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.