I would like to read about Logical Data Fabric.
As a customer of Denodo, we have a valid support user, but I am not a member of the data team. I investigate on my own and try to learn more about it.
I was surprised when I discovered "Data Mesh" in the Denodo blog, as it aligns with my way of thinking.
I am checking to see which part of my approach is covered by it.
Also, I am trying to determine which parts of my approach are not covered by Data Mesh. Specifically, I am using Denodo to facilitate the identification of discrepancies between sources and to produce:
A clean list that can be shared with everyone according to established rules by a working group that includes members from each source.
A list of all discrepancies observed in each source compared to the clean list, which can be sent to the source owners to prompt action and obtain corrections.
In practice, I go even further and aim for a finer granularity by identifying a responsible party for each row.
Ultimately, my goal is to produce views
* that enable source managers to import corrected values,
* as well as views that facilitate reporting of the number of discrepancies by source, view, and owner,
* and views importing of correction requests into a ticketing system.