dbt (Data Build Tool) helps data engineers manage data transformations using modular SQL and brings version control, testing, and documentation to their transformation logic. However, running dbt against production data warehouses like Snowflake can be slow, expensive, and risky.This session introduces a new way to develop and test dbt workflows locally using the Snowflake emulator in LocalStack. You'll learn how to: Set up a local dbt environment Configure dbt to connect to the Snowflake emulator Run and validate dbt models locally without using a real Snowflake account Iterate quickly on transformations before pushing them to productionThrough a hands-on factory app example, we’ll walk through how to use the Snowflake emulator to run dbt models on your laptop, helping you test logic, catch issues early, and reduce cloud costs.

Testing in the cloud = slow builds, fragile staging, surprise bills.Let’s talk about how developers are flipping the script and using local cloud environments to test smarter, faster, and cheaper without breaking production.Bonus: You’ll learn how LocalStack lets you simulate AWS on your machine. Game changer.

Testing in the cloud = slow builds, fragile staging, surprise bills.Let’s talk about how developers are flipping the script and using local cloud environments to test smarter, faster, and cheaper — without breaking production.Bonus: You’ll learn how LocalStack lets you simulate AWS on your machine. Game changer.

Real cloud developers aren’t pushing straight to AWS.They’re building and testing everything locally before a single deploy goes live.This episode breaks down the modern cloud dev workflow and how tools like LocalStack make it possible to move fast without burning money (or trust).Learn how local-first dev culture is changing the cloud game.