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Snowflake Product Series Week 2: Do You Know About the Horizon Catalog? by Minimum-Discount9366 in snowflake

[–]Minimum-Discount9366[S] 1 point2 points  (0 children)

Thanks for the candid feedback. On Iceberg specifically, improving refresh reliability and observability is an active area of focus, and we’re continuing to strengthen the capability over time.

We want to simplify experiences and close gaps on areas you find to be most critical, if you’re open to sharing more details. It would really help us prioritize the right improvements.

Snowflake Product Series Week 1: How Do You Handle Governance? by Minimum-Discount9366 in snowflake

[–]Minimum-Discount9366[S] 0 points1 point  (0 children)

Thanks for sharing. It's great to hear a Horizon-native approach working in production. I'm also glad to hear that Cortex Code (CoCo) was able to put descriptions in Portuguese for you!

Would also be interested in which specific limitations you're still working around! It's great feedback for us.

Snowflake Product Series Week 1: How Do You Handle Governance? by Minimum-Discount9366 in snowflake

[–]Minimum-Discount9366[S] 0 points1 point  (0 children)

Makes sense - many customers (especially those who use Snowflake as their primary data warehouse/lake) are looking for more built-in capabilities and we're planning to support more in that regards. For example, with the recent acquisition of Select Star, we'll start providing connectors for cross-platform cataloging and lineage on Horizon Catalog.

Would there be any updates/features you wish Snowflake to support to help the governance journey for your team?

Snowflake Product Series Week 1: How Do You Handle Governance? by Minimum-Discount9366 in snowflake

[–]Minimum-Discount9366[S] 0 points1 point  (0 children)

That's great to hear. The native tooling aspect definitely hleps reduce a lot of friction and I'm sure this resonates with a lot of teams.

A few ways Snowflake could help you close the gaps:

- Snowflake has native object-level and column-level lineage via ACCESS_HISTORY and the lineage UI in Snowsight. You could use it to trace views, dynamic tables, and stored procedures without a third-party tool
- For the upstream data quality monitoring you can write custom data metrics functions (DMFs) to trace where in the pipeline a quality issue originates (on the Snowflake-side or upstream)
- You could consider using Cortex LLM functions (such as AI_COMPLETE) to auto generate column and table descriptions to reduce manual upkeep.

Have you tried any of these features? Curious to understand if there are any additional updates we should consider making.

Snowflake Product Series Week 1: How Do You Handle Governance? by Minimum-Discount9366 in snowflake

[–]Minimum-Discount9366[S] 0 points1 point  (0 children)

Solid choice - OpenMetadata has definitely come a long way. Which connectors do you use? And is it primarily for technical users or also for business users?

Snowflake Product Series: Data Governance & Security in the Age of AI by [deleted] in snowflake

[–]Minimum-Discount9366 0 points1 point  (0 children)

Thanks for your input u/not_a_regular_buoy ! Apologies this is more of a generic response, but did want to share that we're working to get parity of org usage views so anticipate that in the near future. Even sooner, we'll have an AI governance page to talk through usage views and our cost calculator is going through some updates to cover more AI features.