Assessing data normalization, denormalization, and star schemas
Data normalization is a fundamental concept in database design, and it holds equal importance in the realm of data preparation for Power BI. In this section, you will explore the context in which data normalization becomes necessary, especially when dealing with denormalized or redundant datasets. By understanding the principles of data normalization and applying them judiciously, you will be able to structure your data efficiently, leading to improved data organization and optimal performance of Power BI reports and dashboards.
Power BI’s data modeling capabilities support data normalization by enabling users to establish relationships between tables based on common keys. By doing so, you can reduce data redundancy, which not only saves storage space but also ensures that data updates are consistent across related tables. This results in more streamlined and efficient data analyses within Power BI. Additionally...