The data column of the Zachman Framework comprises multiple layers, including architectural standards important to the business, a semantic model or conceptual/enterprise data model, an enterprise ...

defining the data architecture framework, standards, and principles, including modeling, metadata, security, reference data such as product codes and client categories, and master data such as ...

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

The heart of the genome structure is that it makes the case as a living model. A blueprint falls short because it’s a rigid, ...

An HPC + Al + Big Data architecture is the foundation of the fusion computing services framework. This framework represents a convergence of the HPC and the data-driven Al communities, as they run ...

In the top-down approach, data modeling and governance take priority and are the first steps in developing a framework. The process begins with data professionals applying well-defined ...

In addition, it can help companies enhance their core platforms by deploying and operating ML/AI/LLM services within the lakehouse framework, enabling advanced data analysis and predictive modeling.

Enterprise data architecture enables healthcare ... which includes a plan for organizing data, a model for ... and frameworks like the Trusted Exchange Framework and Common Agreement that ...