Architecting the Reporting Layer for Power BI, Tableau, etc.

When architecting the reporting layer for tools like Power BI and Tableau to read data from a central data warehouse, it is important to consider scalability and performance. One challenge is the bottleneck in querying the data warehouse, which may be difficult to scale. Making copies of data is not an ideal solution due to potential data inconsistency and increased storage costs. One approach to address this is to implement a caching layer that sits between the reporting tools and the data warehouse. This caching layer can store frequently accessed data and respond to queries more efficiently, reducing the load on the data warehouse. Another consideration is using query optimization techniques and data modeling best practices to ensure efficient and optimized queries. By carefully architecting the reporting layer and leveraging caching and query optimization, you can strike a balance between scalability and performance while minimizing costs.