Reconcile data between source and analytics database after every data load
Measures how well a dataset meets criteria for accuracy, completeness, validity, consistency, uniqueness, timeliness, and fitness for purpose
Ability to understand, diagnose, and manage data health across multiple IT tools throughout the data lifecycle
An organized inventory of data assets in the organization
Flowchart that illustrates how “entities” such as people, objects or concepts relate to each other within a system.
Collaborative data management practice
Compare two database definitions and apply the differences from the source to the target
Practice in which incremental code changes are made frequently and reliably
Take advantage of services offered by cloud providers and easily combine them with custom tools to cover your needs in the most optimal and efficient way.
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