What are the best practices for Data Modeling in Data Engineering?

The best practices come by an understanding of business requirements, according to a Data Engineer, where the models designed by the data engineers have to support businesses. Minimization of redundancy and maximization of data consistency is also optimized by normalization carried out by the engineers. Data Engineers should denormalize resources if need be for performance optimization. Other good practices that a data engineer should engage in include applying appropriate data types, documentation to enhance clarity, and performing reviews for updating on a regular basis to execute successful long-term results.