Building a Knowledge Base
Updated: August 1, 2012
A knowledge base in Data Quality Services (DQS) is a repository of knowledge about your data that enables you to understand your data and maintain its integrity. A knowledge base consists of domains, each of which represents the data in a data field. The knowledge base is used by DQS to perform data cleansing and deduplication on a database. To prepare the knowledge base for data cleansing, you can run a computer-assisted analysis of a data sample, and interactively manage values in the domains. DQS enables you to import knowledge, create rules and relationships, change data values directly, and leverage a default database.
You can perform the following operations on a knowledge base:
Create a new knowledge base from scratch, from an existing knowledge base, or from a .dqs data file.
Open an existing knowledge base to perform knowledge discovery, domain management, or add a matching policy.
Perform management actions on a knowledge base, including opening it, unlocking it, discarding your work on it, renaming it, deleting it, or viewing its properties.
Add knowledge to a knowledge base through knowledge discovery; domain value management; adding a matching policy; importing a knowledge, domain, or values; or using the default knowledge base, DQS Data.
Analyze a data sample for data quality criteria.