Data Modeling: The Unsung Hero of Data Engineering: Architecture Pattern, Tools and the Future (Part 3)

In this final installment of the "Data Modeling" series, we delve into data architecture patterns and their influence on data modeling. We explore general and specialized patterns, such as batch vs. streaming and lakehouse vs. warehouse, and discuss the role of a semantic layer in complex data architecture. We also survey the landscape of data modeling tools, comparing commercial and open-source options, and ponder the potential of AI in data modeling. To wrap up, we introduce data modeling frameworks like ADAPT™ and BEAM, designed to guide effective data model creation.