DQS的认识二

DQS Component	Capabilities
Data Quality Client	Knowledgebase Management: Creating and maintaining a DQKB, including: Knowledge management: A set of functionalities that enables the data steward to manually define, update and review the DQKB’s knowledge. Knowledge discovery: A computer-assisted acquisition of knowledge from a data source sample. Matching policy training: Define a set of rules that will serve as the policy governing the matching process. Reference data exploration: Explore, choose, and integrate reference data from 3rd parties into the DQKB domains. Data Quality Projects: Enable correcting, standardizing, and matching source data according to domain values, rules, and reference data associated with a designated data quality knowledge base. Administration: Encompasses several administrative functions such as: Monitoring current and past DQS processes such as data correction and matching. Definition of reference data providers. Setting parameters related to DQS activities. For more information about Data Quality Client, see Data Quality Client Application .
DQS Cleansing component in Integration Services	A synchronous data flow transformation component enables correcting the input data according to domain values, rules, and reference data associated with a designated DQS knowledge base. For more information about the DQS cleansing component, see Using the SSIS DQS Cleansing Component .