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Jan 15 2025

Crossing the Data Divide: A Case for Data Leaders Embracing Process Modeling

In the early days of enterprise data and business systems, process modeling and data modeling went hand-in-hand. It was standard practice to design processes and data structures simultaneously, ensuring a seamless alignment between how work was done and how information was captured, stored, and used. Tools like flowcharts, data flow diagrams, and entity-relationship diagrams were […]

Why Your Business Needs Data Modeling and Business Architecture Integration

In the contemporary business environment, the integration of data modeling and business structure is not only advantageous but crucial. This dynamic pair of documents serves as the foundation for strategic decision-making, providing organizations with a distinct pathway toward success. Data modeling provides organization to your facts, whereas business architecture defines the operational mechanisms of your […]

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The Book Look: Cassandra Data Modeling and Schema Design

I love writing this column for TDAN. It lets me discuss what I learned from a newly released data management book. When I publish a book through Technics Publications, I see the manuscript mostly through the eyes of a publisher. But when I write this column, I see the manuscript through the eyes of a […]

Handling Data Concerns in 2024 and Onwards

Looking back, then forward, is a traditional exercise by year-end. Which data concerns are important enough to worry about in 2024? Which of those do we stand a chance of doing something good for in 2024? Needless to say, money (budget and costs) is an issue. But even more needless to say, solving real business […]

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A Step Ahead: Categories – Boon or Bane?

Do you love or hate organizing papers and objects in your home? For those that hate it, why do you hate it? I like the results of organizing: reduction of clutter and ease of finding things. But I hate the process of organizing. The reason usually has to do with the fact that the object […]

Generative AI and Semantic Compliance

Only CPT and its peers know how many statements have been made based on results from generative AI. But there are loads of them. My background as a data modeler over many years makes me shiver a little bit, because what the friendly AI helpers help us produce is subjected to cognitive processes, where we, the readers, process […]

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Who Needs A Data Model Anyway?

These days, there is much conversation about the necessity of the data model. The data model has been around for several decades now and can be classified as an artifact of an earlier day and age. But is the data model really out of date? And exactly why do we need a data model, anyway? […]

Modeling Modern Knowledge Graphs

In the buzzing world of data architectures, one term seems to unite some previously contending buzzy paradigms. That term is “knowledge graphs.” In this post, we will dive into the scope of knowledge graphs, which is maturing as we speak. First, let us look back. “Knowledge graph” is not a new term; see for yourself […]

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Category Archives: data modeling