DBT is a transformation workflow that allows any business analyst comfortable with SQL to design and implement their own data transformations. Eliminating the dependency on the engineering teams for making changes in the pipelines, dbt allows analysts to collaborate on data models & deploy analytics code with software engineering’s best practices such as modularity, portability, CI/CD, and documentation. With features like version control in Data Build Tool, you can first test your analytics code in the development before deploying them to a production environment.
In addition to providing a hosted architecture for running dbt across your organization, dbt Cloud comes equipped with turnkey support for scheduling jobs, CI/CD, hosting documentation, monitoring and alerting, an integrated development environment (IDE), and allows you to develop and run dbt commands .
dbt (data build tool) makes data engineering activities accessible to people with data analyst skills to transform the data in the warehouse using simple select statements, effectively creating your entire transformation process with code. You can write custom business logic using SQL, automate data quality testing, deploy the code, and deliver trusted data with data documentation side-by-side with the code. This is more important today than ever due to the shortage of data engineering professionals in the marketplace.