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All,
My DSS is looking a bit messy right now...
I think that I need a bit of cleanup.
Context:
I'm working on a DSS instance that is coming up on its one-year anniversary. In the catalog, we have about 1500 items created by a mix of folks currently working on the project and those who have rolled off of the project over time.
I'm thinking about doing a bit of cleanup.
I think that the Catalog should be helpful in taking these steps. However, I am not clear about the best approach.
Question:
--Tom
Hi,
There is a mix of product features and best practices that you can use.
PRODUCT FEATURES:
If many projects are likely to use the same raw data and transformation recipes, then it is recommended that these steps are part of a single preparation project, with the resulting dataset share with downstream projects.
BEST PRACTICES:
I hope this helps.
Best regards
@Manuel ,
Thanks for the feedback these are helpful.
Iโm also super interested in what others are actually doing with your DSS infrastructure. If you are running a DSS instance Iโd like to invite you to share your best practices / tips and tricks for keeping your DSS infrastructure running smoothly.
โTom