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I was recently asked to address the topic, “How Does Enterprise Architecture Support Big Data” by a professional association in New York City. I put together a few thoughts about Big Data and a few thoughts about Enterprise Architecture and show how they come together. I also speculate about Big Data and the current technology trends and their dramatic impact on the Enterprise in the foreseeable future. It should not be mysterious that neither Big Data nor the Enterprise are going away anytime soon! Somebody needs to be working on it now and anytime this afternoon is not too late to start!
- Big Data – the fundamental Issue it raises
- Enterprise Architecture – Real Time Management Decisions
- Enterprise Laws of Physics
- Solving General Management problems
View the presentation, Big Data and Enterprise Architecture
For many years, I have argued that engineering an Enterprise is far different from building and running systems. Engineering an Enterprise requires single variable, “primitive” models, whereas building and running systems requires multiple variable, “composite” models. If you want the Enterprise to be “architected”, then the “composite” implementation (systems) models must be created from components of “primitive” engineering (architecture) models. If the “composite” implementation models are created before any “primitive” models exist, then the Enterprise will be implemented (running systems), but NOT “architected.” The problem is, for the last 60 or 70 years, those of us who come from the information community have been solely focused on building and running systems (implementations) not on engineering Enterprises (architecture). We build and use “composite” models. We don’t relate to “primitive” models because we don’t build or use “primitive” models. This presentation argues the utility and necessity of Primitive Models for Enterprise Architecture by way of introducing the Sample Primitive Models.
View the presentation, The Zachman Framework: Intro to Sample “Primitive” Models
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