Data Management Glossary
Data Tagging
What is data tagging?
Data tagging is the process of adding metadata to your file data in the form of key value pairs. These values give context to your data, so that others can easily find it in search and execute actions on it, such as move to confinement or a cloud-based data lake. Data tagging is valuable for research queries and analytics projects or to comply with regulations and policies.
How does Komprise data tagging work?
Users, such as data owners, can apply tags to groups of files and tags can also be applied programmatically by analytics applications via API. In the Komprise Deep Analytics interface, users can query the Global File Index and find the data for tagging. This is done by creating a Komprise Plan that will invoke the text search function to inspect and tag the selected files. The ability to use Komprise Intelligent Data Management to search, find, apply tags and then take action makes it possible for customers to get faster value from enriched data sets.
Tagging and Smart Data Workflows
Komprise Smart Data Workflows automate unstructured data discovery, data mobility and the delivery of data services.
- Define custom query to find specific data set.
- Analyze and tag data sets with additional metadata
- Move only the tagged data for analytics, AI/ML, etc.
- Move to a lower-cost data storage tier after analysis
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