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Episode 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

July 3, 2024

This week on The Data Stack Show, Eric and John chat with David Wynn of Edge Delta. During the conversation, Dave shared his background, including his econometrics work at UPS during the 2008 recession and his tenure at Google Cloud, where he focused on BigQuery and customer-facing architecture in the gaming industry. The discussion covers the landscape of data warehouse products like Snowflake and Databricks, the complexities of cloud platforms, and the challenges of observability. They also delve into the cautious integration of AI in observability, emphasizing the need for better mental models and practical approaches, and so much more. 

Notes:

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.

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About the Podcast

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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