Click to learn more about author Ronald G. Ross. This is the third and final part of a three-part series. See part one Confessions of a Concept Modeler here, and part two Creating Concept Models here. In creating a concept model, you are designing a special kind of business blueprint, one crucial for information architecture, business […]
Creating Concept Models
Click to learn more about author Ronald G. Ross. Getting Started This is the second part of a three-part series. See part one Confessions of a Concept Modeler here. In creating a concept model, you can start in any of several ways, whichever best fits your circumstances. For example, you can start by identifying terms or […]
Confessions of a Concept Modeler
Click to learn more about author Ronald G. Ross. This is the first part of a three part series: Part Two is Creating Concept Models and Part Three is The Structure of Concept Models. We work with clients across a wide variety of industry sectors and, within those sectors, subject areas often new to us. You […]
Without Improved Business Skills, a Dark Day is Coming for Data Scientists
Click here to learn more about Ted Kwartler. Each semester my Harvard University Extension class is about half business and half computer science students. As you may expect, the business pupils struggle with learning how to code. However, computer scientists feel hindered by business case studies and learning how to interact in a cross-functional group. […]
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 […]
Data Virtualization: An Agile Approach to Data Integration
Click to learn more about author Tejasvi Addagada. Data virtualization can facilitate integration of data in an agile or a change-driven style. Virtualization provides unified access to disparate data sources and provides data consumers an edge in data provisioning. The lack of platform governance has led to siloes in data platforms hosting data. Data virtualization is […]
Modeling Misfit Types: Why Type Inheritance Is Not a Good Fit in Data Models
Click to learn more about author Thomas Frisendal. “Complete Consistence” Drives Temporality, … And What Else? In August I published a blog post called The Future History of Time in Data Models. The short version of that story is that if you aim for “Complete Consistence for Temporal Extensions”, you need to work on the […]