Unifying Data Products are completely technology agnostic: they can be done with spreadsheets, code, and/or even on a whiteboard!
Currently, most data teams are dealing with datasets that do not have headers formally defined, and they need to spend a lot of time to even find out what they mean, and who they should be talking to in order to understand the dataset. By bundling them together, they can get the context they need (who, what, where, why, which, etc.), as well as the ability to understand the meaning of the column, and the permitted values.
Unifying Data Products can be implemented manually in spreadsheets, and in enterprise data catalog solutions. Because Unifying Data Products are technology-agnostic, they are designed for simplicity and ease of use.
Unifying Data Products for graphs treat each node as a dataset, and each property in a node as a column header.
In order to accomplish this, "metadata nodes" to represent context, meaning, and structure are added to the graph.
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