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The Psychology of Data Modeling

Click to learn more about author Thomas Frisendal. Data Modeling – For Whom? I am much concerned with the communicative aspects of a data model. Because data models are really vehicles of communication, we need to understand who our “readers” are. In the case of graph data models, developers are just a minority. Many more […]

Ten 2020 Visions for Data Modelers

Click to learn more about author Thomas Frisendal. 2020 is a nice number and sounds comforting. And it is about vision(s). Are there any foresights of importance for data modelers? Well, here are 10 suggestions. No warranties, I suggest you use them as lighthouses, hopefully plotting your course from 2020 onwards. Business Value in Data […]

Data Modeling on the Other Side of the Quagmire

Click to learn more about author Thomas Frisendal. At the DATAVERSITY® Graphorum Conference in Chicago in October I attended Dave McComb’s tutorial on “Data-Centric: Models and Architectures”. At the end, he ran a raffle for his 2018 book, Software Wasteland – How the Application-Centric Mindset is Hobbling our Enterprises (TechnicsPub). I was the lucky winner! […]

Knowledge Graphs and Data Modeling

Click to learn more about author Thomas Frisendal. Trip Report From Graphorum / Data Architecture Summit 2019 On October 14th thru 17th Chicago hosted the two co-located conferences Graphorum  and Data Architecture Summit 2019 by DATAVERSITY®. It was two days of good tutorials and two good days of conference presentations. One thing to think about […]

The History of Time in Data Models

Click to learn more about author Thomas Frisendal. In my last blogpost Timely Concerns in Data Models, we looked at the basic challenges of dealing with time dependencies in Data Modeling. I promised to continue this quest by going over the history of these issues. How well have we actually solved these challenges? So, hop […]

Timely Concerns in Data Models

Click to learn more about author Thomas Frisendal. The Component Parts of Data Models Back in March 2019 I published a post here on DATAVERSITY® titled The Atoms and Molecules of Data Models. The objective was to scope ”a universal set of constituents in data models across the board”. I used this classic data model, […]

Data Models That Build Themselves

Click to learn more about author Mike Brody. Self-service Business Intelligence (BI) is about bridging the knowledge gap that has historically separated business professionals from their data. It’s about doing away with intimate knowledge of information systems as a prerequisite for finding out last quarter’s growth margin. And when it comes to replacing SQL statements with […]

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