Introducing Datadobi Query Language (DQL) – A Unique Technology to Scan and Interrogate Petabyte-Scale Unstructured Data Lakes
DQL is a query framework that can look for many aspects in a data lake such as:
- Identifying cold data sets — data that is infrequently accessed
- Identifying old data sets —data that was created or modified some time ago
- Identifying data sets owned by a specific user or group, e.g. by users who no longer work at the company
- Identifying shares, exports or directories trees that are homogeneous (cold, old, owner, file types) and can be handled as one data set e.g. to take specific lifecycle actions upon