Free ebookData Modeling Fundamentals for BI: Star Schemas, Dimensions, and Facts

Course Description

Data Modeling Fundamentals for BI: Star Schemas, Dimensions, and Facts is a practical ebook course for anyone who wants to design analytics-ready data models that make dashboards faster, metrics consistent, and reporting easier to trust. Built for Information Technology professionals working in Data Science and Business Intelligence, it focuses on the real decisions behind dimensional modeling so you can turn business questions into reliable structures for BI tools and data warehouses.

You will learn why analytical models differ from transactional systems and how dimensional modeling supports clear, performant reporting. The course walks you through identifying business processes, selecting the right grain to protect metric accuracy, and designing fact tables with measures that behave correctly across different summaries. You will also shape dimension tables that provide usable business context through attributes and hierarchies, making exploration and filtering intuitive for analysts and stakeholders.

As you progress, you will understand when to use a star schema versus a snowflake schema, how to choose natural keys or surrogate keys, and how to maintain referential integrity. You will learn to manage history with slowly changing dimensions without breaking reports, and to build conformed dimensions that align definitions across sales, marketing, and operations. By the end, you will be able to model common BI scenarios with patterns that improve performance, reduce ambiguity, and keep reporting consistent as data grows.

Start this ebook course today and build strong data modeling foundations for Business Intelligence that you can apply immediately in your data warehouse and analytics projects.