Episode description
Highlights from this week’s conversation include:
- Tristan’s background and career journey (2:43)
- Updating old technology (11:40)
- Defining “data observability” (18:44)
- The primary user of a data observability tool (29:56)
- Handling an incident (33:01)
- Why multipliers for data observability (37:06)
- Early symptoms of a data drift (43:12)
- Tuning in the context of data engineering (50:11)
- What keeps Tristan working with data (55:12)
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.