Episode description

Highlights from this week’s conversation include:

• Santona’s journey from nuclear physics to data science (4:59)
• The appeal of startups and wearing multiple hats (8:12)
• The challenge of pseudoscience in the news (10:24)
• Approaching data with creativity and rigor (13:22)
• Challenges and differences in data workflows (14:39)
• Schema Evolution and Quality Problems (27:01)
• Real-time Data Monitoring and Anomaly Detection (30:34)
• The importance of data as a business differentiator (35:48)
• The SQL job creation process (46:25)
• Different options for creating solver jobs (47:20)
• Adding column-level expectations (50:17)
• Discussing the differences of working with data as a scientist and in a startup (1:00:18)
• Final thoughts and takeaways (1:04:01)

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.