Dbt model Automation compared to WH Automation framework

📥 Loading raw CSV data into Snowflake using Airbyte, configuring a file connector, and setting up a manual refresh for data loading.

🔍 How Airbyte loads data into a JSON variant column, making it more resilient to schema changes.

🛠 Creating initial YAML and SQL files using dbt coves by inspecting available tables in Snowflake.

🧩 Transforming raw data into structured models using the dbt_utils.surrogate_key macro to create a primary key.

🖥 Materializing data in Snowflake, running dbt models in VS Code, and previewing the transformed data.

🌐 Overview of Datacoves as a turnkey solution for modern data stack tools such as dbt, Airbyte, and Airflow, with flexibility for other tool integrations.