CEO & Head Chef, DataKitchen: observe & automate every Data Journey so that data teams find problems fast and fix them forever! Author: DataOps Cookbook, DataOps Manifesto. Open Source Data Quality & Observability!
Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability The uncertainty of not knowing where data issues will crop up next and the tiresome game of 'who's to blame' when pinpointing the failure. This is where the true power of complete data observability comes into play, and it's time to get acquainted with its two critical parts: 'Data in Place' and 'Data in Use.' https://bit.ly/48tN4d9 #dataops #dataobservability #datajourney
