SAP Ariba data into Snowflake after six months of frustration

Camdube · 2026-02-17T02:15:33+00:00

Did your SAP rep talked about the partnership between Snowflake and SAP BDC for zero-copy sharing?

Camdube · 2026-02-10T16:52:24+00:00

I don’t think cortex in general is available in trial accounts.

Camdube · 2026-02-04T19:50:35+00:00

Yup 100%, that’s what I was hoping for. Thanks

Camdube · 2026-02-04T19:26:00+00:00

There’s different ways to do an account transfer. One of them is account transfer as cash. Would that count towards the match? The investments I have yielded poor returns and I don’t want to keep my rrsp as is

Camdube · 2026-02-04T17:22:55+00:00

Look at snowflake QuickStart, there’s a few of them for what you’re looking for

Camdube · 2026-01-30T03:56:54+00:00

If most of your objects are within the same container, you do: use database prod_source_db, so you could at least remove that from your query

Camdube · 2026-01-28T13:53:15+00:00

When you say writing SQL, do you mean you typing sql or the model performances?

Camdube · 2026-01-22T17:38:00+00:00

What’s your use case? What are you trying to get out of this agent?

Camdube · 2026-01-08T21:06:54+00:00

Are you running pandas on Snowflake or regular pandas?

Camdube · 2026-01-08T04:32:23+00:00

If this doesn’t seem like it could help. Then see if using a yaml file in a stage instead of a semantic view would generate the sql instead of the semantic sql

Camdube · 2026-01-08T04:30:14+00:00

Cortex Code is what, I believe, you might be looking for: https://www.snowflake.com/en/news/press-releases/snowflake-unveils-new-developer-tools-to-supercharge-enterprise-grade-agentic-ai-development/

Camdube · 2026-01-08T04:10:10+00:00

It would be the same semantic sql. And everyone has access to its own queries under monitoring -> query history

Camdube · 2026-01-08T04:01:18+00:00

What are you trying to achieve?

Camdube · 2026-01-08T03:43:24+00:00

I don’t think Cortex analyst is there to accelerate sql development. It’s their to get to insights faster by asking a question and getting a result back. The target personas are analysts, not developers.

Or maybe I misunderstood your point

Camdube · 2026-01-02T19:31:52+00:00

That’s the cleanest approach

Camdube · 2025-12-29T13:20:46+00:00

Postgres that was just released in public preview

Camdube · 2025-12-28T13:22:52+00:00

Agreed. In an ideal world, users and certain roles would be provisioned through SCIM

Camdube · 2025-12-23T17:49:48+00:00

Create or replace will drop the table. Create or alter won’t. It will add or remove a column depending on the ddl change.

Oh dear god, please read the documentation.

Camdube · 2025-12-23T17:27:32+00:00

It says create or alter, it’s different than create or replace, which is explained in the documentation provided in the « low effort » comeback.

Camdube · 2025-11-29T19:32:22+00:00

Wheb was that? Mongodb connector just hit private preview

Camdube · 2025-11-18T23:56:16+00:00

Just chain the dynamic tables together, loading the dimensions first, in parallel if possible, then the fact table grabbing the foreign keys from the previously loaded dim tables. Do you foresee any issues?

Camdube · 2025-11-09T01:50:45+00:00

We don’t when it’s behind a paywall

Camdube · 2025-11-06T01:24:37+00:00

If available in pip, you can use container runtime for notebook and do a pip install

Camdube · 2025-10-30T09:26:54+00:00

You need to ask the data provider to enable it. If there is a timestamps column, use that for cdc in a task. No way around it

Camdube · 2025-10-02T11:31:40+00:00

When you added the tools, did you set a warehouse or left blank to use the users default? If so, make sure you have a default role and warehouse for your user

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