1819: Data Observability: Monitor, Identify & Solve Silent Data Issues
I recently discovered a Belgian company called Soda who focuses on data quality monitoring and testing. Think of it a bit like application or software monitoring which is now ubiquitous. Soda scans for issues caused by human error, firmware upgrades, schema changes, cross-platform integration snafus, bought data, or transformation bugs. The aim is to automate, verify, and validate the flow of data from various sources and encourage collaboration between software/data engineers and downstream business decision-makers. The big idea here is to eliminate so-called 'silent data issues.' These are…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.