196: Why Big Query Was a Big Deal, Observability AI, and How AI is Like a Guy at the Bar, Featuring David Wynn of Edge Delta

The Data Stack Show

Highlights from this week’s conversation include:

• David’s Background and Career (0:49)
• Econometrics Work at UPS (3:14)
• Challenges with Time Series Data and Tools (7:15)
• Working at Google Cloud (11:28)
• BigQuery's Significance (13:51)
• Comparison of Data Warehouse Products (17:23)
• Learning different cloud platforms (20:17)
• Coherence in GCP (23:04)
• Observability and data analysis (32:44)
• Support for Iceberg format in BigQuery (36:31)
• AI in Observability (40:25)
• AI's Role in Observability (43:39)
• AI and Mental Models (46:04)
• Final thoughts and takeaways (48:32)

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.