Building the Backend: Data Solutions that Power Leading Organizations

How To Effectively Reduce Data Quality Incidents 10x with Datafold

September 21, 2021 Travis Lawrence Season 1 Episode 28
How To Effectively Reduce Data Quality Incidents 10x with Datafold
Building the Backend: Data Solutions that Power Leading Organizations
More Info
Building the Backend: Data Solutions that Power Leading Organizations
How To Effectively Reduce Data Quality Incidents 10x with Datafold
Sep 21, 2021 Season 1 Episode 28
Travis Lawrence

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. 

Show Notes

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.