How To Effectively Reduce Data Quality Incidents 10x with Datafold

Building the Backend: Data Solutions that Power Leading Organizations

コンテンツは Travis Lawrence によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャストコンテンツは、Travis Lawrence またはそのポッドキャストプラットフォームパートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。

2+ y ago 39:12

MP3•エピソードのホーム

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 つのエピソード

#Tech #Podcasting Education #Travis Lawrence