End-to-end Data Modelling Project скачать в хорошем качестве

End-to-end Data Modelling Project

In this video, I walk through an end-to-end analytics engineering project built with dbt, using the TheLook E-commerce public dataset. You will learn how to structure a production-ready dbt project the way analytics engineers do in real teams starting from raw source data and ending with tested, analytics-ready fact and dimension tables. We cover the full dbt workflow: Staging models to clean and standardise raw warehouse data Intermediate models to apply business logic and aggregations Analytics marts built using fact and dimension modelling Data quality testing with generic tests (not null, unique, relationships) Singular tests to enforce real business rules The project mirrors how dbt is used in production environments, with a strong focus on model grain, data quality, maintainability, and best practices. Whether you’re an aspiring analytics engineer, a data engineer, or someone looking to level up their dbt skills, this video will help you understand how to build dbt projects end to end. #dbt #analyticsengineering #dataengineering #dataanalytics #dbtcloud #dbtproject #datamodelling #datawarehouse #bigquery #sql #dataquality #factanddimensions #endtoendpipeline #learnanalyticsengineering