dbt
dbt is the standard for data transformation in the modern cloud. It enables data analysts and engineers to transform data in their warehouse simply by writing SQL. dbt brings best practices from software engineering, such as version control, testing and documentation, to the world of data analytics.
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Tableau
What is Tableau?
Tableau is one of the most popular tools for data visualization. With Tableau, you turn raw data into interactive dashboards and reports that everyone in your organization can understand. Whether you want to create an overview of KPIs, analyze trends or share insights with colleagues - Tableau makes data accessible.
Advantages
Software Engineering for Analytics
Because dbt runs on SQL (the language analysts already speak), it democratizes the engineering process. Analysts don't have to wait for engineers to clean data; they can build, test and deploy transformations themselves.
Everyone is a Data Engineer
Because dbt runs on SQL, it democratizes the engineering process. Analysts don't have to wait for engineers to clean data; they can build, test and deploy transformations themselves.
Built-in Data Quality and Tests
Confidence in data is essential. With dbt, you define tests directly in your code (e.g., "this column must never be empty" or "ids must be unique"). If a test fails, you are alerted immediately before the data ends up in a dashboard.
Automatic Documentation & Lineage
dbt automatically generates a living documentation website from your code. In it, you see not only the definitions of your data, but also the full "lineage": a visual overview of how data flows from source to end result.
Our experience with dbt
As a partner in the modern data stack, we help organizations professionalize their transformation process with dbt. Whether it's migrating legacy ETL processes, setting up a new data warehouse, or training your analysts in "analytics engineering," our consultants provide a scalable and maintainable setup.
