Enterprise Data World 2024 Takeaways:
I was privileged to deliver a workshop at Enterprise Data World 2024. Publishing this review is a way to express my gratitude to the fantastic team at DATAVERSITY and Tony Shaw personally for organizing this prestigious live event. Part 1 of this article considered the key takeaways in data governance, discussed at Enterprise Data World 2024. Part 2 of this article will explore the subject area of data architecture and modeling.
Data Architecture and Modeling
Data architecture and modeling are among cambodia whatsapp number data the most unaligned concepts in the data management community worldwide.
The TOGAF® Standard, the most well-known framework for enterprise architecture, considers data architecture to be one of four types of enterprise architecture. These four types are business, data, application, and technology architectures. They define data architecture as “A description of the structure of the enterprise’s major types and sources of data, logical data assets, physical data assets, and data management resources.“ Data modeling deliverables are a part of data architecture.
At the same time, DAMA-DMBOK2 has separated data architecture from data modeling.
In the data management community, people take another approach: they substitute three types of architectures (data, application, and technology) with one term, “data architecture.”