Data Transformations and Modeling Best Practices

The chapter delves into anti-patterns in data transformations, focusing on the dangers of denormalizing data too soon and creating overly wide tables through excessive table joining. It emphasizes the importance of separating data until necessary and highlights the complexities of data modeling in modern data stacks. The conversation also explores optimizing data accessibility for business analysts, certifying core data tables, and the challenges of data usability and analytics over time.