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Data Catalog
Data catalogs articulate both the business meaning and the technical metadata for each
entity and attribute within the data model. Providing contextual information is always a
good thing to do, and your clients will value knowing the provider supplied meaning to
enrich their own understanding and flesh out their own data catalog.
Large organizations find it difficult to articulate their whole data product shop
window using a single tool, and many organizations have incomplete catalogs. Provide
what you have while completing the remainder. Your clients both expect and appreciate
all available information.
Shared Tag References
The ability to export data product context is becoming more important to clients. Data
without context is akin to data littering, a term coined by Dr Jon Talburt and referenced
within this article:
https://tdan.com/data-speaks-for-itself-data-
littering/29122
.
At the time of writing, shared tag references are a public preview feature for which
further information can be found at
https://docs.snowflake.com/en/user-guide/
data-sharing-provider#shared-tag-references
.
Multiple Shares of Same Data
A common requirement from clients is to have the same data shared into multiple
accounts. Where the consumer account is co-located with the provider account, the
data does not move. For clients sharing objects access the same micro-partitions as the
provider, there is zero cost.
From a consumer perspective, with a single share, accessing the same data set in
multiple environments can be achieved only by replicating the reshared data, as shown
in Figure 9-12.
Chapter 9
Client expeCtations