DQS Training

Explore data cleansing operations by building a data cleansing project in data quality services, using a knowledge base and cleansing activities to correct spellings, standardize country names, and manage duplicates.

Create and apply matching policies to identify duplicates across country, city, address, coordinates, and hotel name, using prerequisites and exact vs similar matching to score and remove duplicates.

Launch a deduplication project within a data quality framework, apply matching policies, and use survivorship rules such as most complete and longest record to remove duplicates and export results.

Manage data quality projects and knowledge bases by opening, deleting, renaming, locking, and exporting or importing domains and knowledge bases; edit domain values and publish updates.