How To Effectively Reduce Data Quality Incidents 10x with Datafold

Building the Backend: Data Solutions that Power Leading Organizations

Travis Lawrence에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Travis Lawrence 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

4y ago 39:12

MP3•에피소드 홈

This episode features Gleb Mezhanskiy Co-Founder & CEO @ Datafold, during our discussion we talk all about data observability and how to improve your data quality. Before Datafold, Gleb was a founding member of data teams at Lyft and Autodesk, where he built sophisticated data platforms and developed tooling to improve productivity and data quality.
Top 3 Value Bombs:

The foundation of any data observability platform is the data catalog.
Data observability becomes increasingly difficult the more data sets you have if you do not define your process to track and monitor your data.
Do not surprise your report consumers. knowing how your metrics will change in prod before your deployment can be done with the right data observability process and regression testing.

43 에피소드

#Tech #Podcasting Education #Travis Lawrence