The Data Stack Show cover image

The Data Stack Show

59: Making ETL Optional with Justin Borgman of Starburst Data

Oct 27, 2021
57:30

Highlights from this week’s conversation include:

  • Starburst Data is Justin’s second startup (2:42)
  • Starburst focuses on doing data warehousing analytics without the need for the data warehouse (4:14)
  • Multi-cloud solutions among merger and acquisition use cases (8:32)
  • Ways the stack is increasing in complexity (12:25)
  • Comparing essential components of a data stack from 2010 to now (15:01)
  • The future of ETL (27:36)
  • The best maturity stage for an organization to implement Starburst (31:27)
  • Starburst connectors (36:55)
  • Monetizing enterprise solutions while promoting open source ones (41:52)
  • The history of Presto and Trino (45:37)
  • Benefits of a decentralized data mesh (49:53)

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.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode