List View

Find DQ issues across all data sets in your data lake. Rank them, sort them, search them and limit them by time.

How Do I Take Action on Lots of Alerts?

One of the most frequently asked questions is how to operationalize and take action on all of the issues that are seemingly valid yet overwhelming. DQ seems to find many valid issues in your data sets, but there are many more issues in your data than expected. The list view helps by first limiting to a time range, for example, issues that have occurred less than five days, or possibly even just issues that occurred today. This will likely result in a large reduction in the issue count. In addition, you might limit issues to those DQ issues that have a business impact. This means other downstream processes or data sets are connected to this data set and field. You only get the business impact feature if you have enabled the DQ Graph module. This results in another drastic reduction in issues because now you are limited to issues that recently occurred and have impact to the business. Finally, you might filter by the "class" or "type" of DQ issue, such as Rules or Outliers. It is common in a large data lake that after taking these steps you are left with the one or five top ranking issues in your lake. These are likely the issues that should be prioritized and moved into a remediation queue.