Build a cost-effective, serverless data warehouse using dbt and AWS Athena for scalable business intelligence.
Small teams often struggle with expensive, complex data warehouse setups that require dedicated data engineering resources.
A fully automated data transformation pipeline that feeds clean, modeled data into a central BI dashboard.
Source control for analytics code
Compute engine for data processing
Data modeling and quality testing
Data visualization and reporting
This workflow establishes a scalable, serverless data warehouse for small businesses using a code-first approach. It leverages version-controlled SQL models to transform raw data into actionable insights without the overhead of managing physical servers. By integrating transformation and visualization tools directly with cloud storage, teams can maintain a single source of truth for their business metrics.
