Visually and logically group data sets together to create a heat map of blindspots.
Similarly to job control and build frameworks like Jenkins, we always want to know the health of our data sets. Did it recently fail? Does it commonly fail on Mondays? What is the aggregate or composite score for multiple data sets? DQ allows you to define scheduled health checks that depend on the success/failure status of any number of data sets. This protects the downstream process consumers from pulling erroneous data into their models.