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Data observability, building a data startup, how to do customer discovery | Egor Gryaznov

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Manage episode 341967171 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Egor Gryaznov is the cofounder and CTO of Bigeye. It's a data observability platform that helps teams measure and improve data quality. Before that, he was at Uber where he scaled the company's first data warehouse, supporting thousands of internal users and mission-critical workloads.
In this episode, we cover a range of topics including:
- Key takeaways on being a founder
- What he's building now at Bigeye
- How to do customer discovery
- Why do we need data observability
- How to measure data quality
- What is data reliability
- What should early stage ML practitioners spend their time on
--------
Where to find Prateek Joshi:

  continue reading

171 episodes

Artwork
iconShare
 
Manage episode 341967171 series 3370867
Content provided by Prateek Joshi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Prateek Joshi or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Egor Gryaznov is the cofounder and CTO of Bigeye. It's a data observability platform that helps teams measure and improve data quality. Before that, he was at Uber where he scaled the company's first data warehouse, supporting thousands of internal users and mission-critical workloads.
In this episode, we cover a range of topics including:
- Key takeaways on being a founder
- What he's building now at Bigeye
- How to do customer discovery
- Why do we need data observability
- How to measure data quality
- What is data reliability
- What should early stage ML practitioners spend their time on
--------
Where to find Prateek Joshi:

  continue reading

171 episodes

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