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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 […]


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Author: Steve Hoberman

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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Author: Thomas Frisendal

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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Author: Thomas Frisendal

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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Author: Thomas Frisendal