What are the best practices for data modeling in Azure?
The best practices for data modeling in Azure include creating a logical model that represents the business requirements, designing a physical model that optimizes data access and storage, and utilizing Azure services such as Azure SQL Database, Azure Cosmos DB, and Azure Analysis Services. It is important to establish naming conventions, primary keys, and relationships between tables to ensure data consistency and accuracy. Additionally, considering data security and privacy regulations, such as GDPR and HIPAA, should be a crucial part of data modeling. Finally, regularly reviewing and tuning the model can help to improve performance and maintainability.
This mind map was published on 18 June 2023 and has been viewed 142 times.
