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My DSS is looking a bit messy right now...
I think that I need a bit of cleanup.
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.
There is a mix of product features and best practices that you can use.
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.
I hope this helps.
Thanks for the feedback these are helpful.
I’m also super interested in what others are actually doing with your DSS infrastructure. If you are running a DSS instance I’d like to invite you to share your best practices / tips and tricks for keeping your DSS infrastructure running smoothly.