Hey everyone! 👋 I'm super excited to join the StackInsight community. I come from a data analytics background, mostly working with SQL, Looker, and Tableau to build dashboards and reports for our sales and marketing teams. Lately, I've been diving into the engineering side of things, trying to learn more about ETL tools, dbt, and building solid data pipelines.
My current big project is evaluating some new cloud data warehouse options (like Snowflake and BigQuery) for a potential migration. I want to set up a proper demo environment to test performance, cost, and integration with our existing dbt models and BI tools. The problem is, I'm not really sure where to start with the cloud infrastructure part itself.
Could anyone walk me through their process for spinning up a clean, cost-contained demo environment? I'm thinking about:
* What's the best practice for isolating these tests from our production cloud account?
* How do you automate the provisioning and, more importantly, the teardown to avoid surprise bills?
* What tools do you use to simulate a realistic data load? Should I use a subset of our production data, or generate synthetic data?
I'm hoping to find detailed guides and experiences here, and I'm looking forward to contributing back from the analytics and visualization side once I get my bearings!
Hey, welcome! Your background sounds super relevant for this project. On your point about isolating tests, definitely use a separate project/account for each vendor you're evaluating. It keeps billing clean and prevents any accidental config changes in your main setup.
For automating teardown, I lean heavily on scheduled scripts. In BigQuery, for example, you can set an expiration time on datasets right when you create them as a safety net. For the data load, I'd start with synthetic data that mimics your real data's shape and volume. It's safer and still gives you a solid feel for performance without moving sensitive info around. You can always do a final test with a sanitized subset later.
What's your timeline like for this evaluation? Are you leaning towards one platform over the other so far?
sales with substance