Domain ejuidc currently not in updating state

05-Jun-2015 16:17 by 4 Comments

Domain ejuidc currently not in updating state

DQS knowledge bases have the following benefits: The data steward uses the Data Quality Client application both to execute and control the computer-assisted steps, and to perform the interactive steps.The following illustration displays various components in a knowledge base and a domain in DQS: Building a DQS knowledge base involves the following processes and components: Knowledge Discovery A computer-assisted process that builds knowledge into a knowledge base by processing a data sample Domain Management An interactive process that enables the data steward to verify and modify the knowledge that is in knowledge base domains, each of which is associated with a data field.

domain ejuidc currently not in updating state-18

In the domain management activity, you can do the following: When the domain management activity is completed, you can publish the knowledge base for use in a data project.DQS prevents concurrency conflicts by locking the knowledge base to a user who opens it in a knowledge management session. That means that when DQS performs knowledge discovery, domain management, or matching, it does not distinguish values by case.If you add a value in value management that differs from another value only by case, they will be considered the same value, not synonyms.Updated: October 2, 2012Applies To: SQL Server 2016This topic describes what a knowledge base is in Data Quality Services (DQS).To cleanse data, you have to have knowledge about the data.The data steward prepares the process by linking a knowledge base to a SQL Server database table or view that contains sample data similar to the data that the knowledge base will be used to analyze.

The data steward then maps a knowledge base domain to each column of sample data to be analyzed.

The knowledge discovery process need not be performed on the same data that data correction is performed on.

DQS provides the flexibility to create knowledge from one set of database fields and apply it to a second set of related data that needs to be cleansed.

If two values that differ only by case are compared in the matching process, they will be considered an exact match.

You can, however, control the case of values that you export in cleansing results.

In addition, you can run the knowledge discovery process again at a later point if the data in the sample has changed.