In this episode, Brick and Caleb explain the distinctions of and interdependencies between data setup/data pipelines, data modeling, and reporting, emphasizing their individual roles for effective data analytics and BI. Starting by explaining the necessity of a solid data pipeline structure, this episode highlights how the specific requirements of a report influence the development of a corresponding data model (also known as a semantic layer) and concludes with a practical discussion on balancing the complexities of data models.
