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Tag: metadata management
.@philsimon says that even seemingly useless information can be useful under the right circumstances.
Now that another summer of 12-hour family road-trips to Maine and Ohio, pricey engineering and basketball camps for the kids, and beating the heat at the beach are over, I've taken a fresh look at what people are focused on with their data – and what SAS is providing in the data management space.
Last time we looked at some of the benefits to be derived form managing the metadata associated with reference data. Practically speaking, the first step in managing the metadata for reference data is to identify which reference data domains exist and document how those domains are used. That suggests taking
In my last set of posts I started to look at some of the challenges associated with enterprise management of reference data domains, especially as the scope of use for the same conceptual reference domains expands across databases, systems, and functional areas within the organizations. Recognizing the value of capturing
In my previous post, I used a game show metaphor for one aspect of metadata management, namely making sure table definitions are not ambiguously labeled. In this post, I will use name tags as a metaphor to discuss an important intersection of metadata management and master data management (MDM), an
Although its simplest definition is “data about data,” metadata can be better thought of as a label that provides a definition, description or context for data. Common examples include relational table definitions and flat file layouts. More detailed examples include conceptual and logical data models. Among its other possible uses,
The third part of my data governance primer series addresses data quality analysis. Don’t even start a data quality analysis until you have completed the first two steps of your root cause analysis: investigate and prioritize any potential causative factors, then start your metadata assessment. Otherwise, you may be misled