The importance of data models
The primary objective of an effective data model is to translate business requirements into data structures that facilitate the understanding of the current status, identify new opportunities, and drive initiatives based on insights gained from data analysis.
For analytics engineers, it is crucial to build data systems with long-term planning in mind, ensuring seamless integration between business requirements and the data procured in the system. As a result, data modeling is one of the most vital tools to prevent future issues and maintain optimal system performance as complexity increases.
In traditional data warehouses, data models were essential to manage storage and computational costs. However, as seen in Chapter 4, the shift to cloud computing presents another set of challenges.
With the increasing adoption of cloud computing, many of the problems data modeling solves can now be overcome by harnessing the increased computational power of...
