Click to learn more about author Thomas Frisendal. Common wisdom has it that we humans can only focus on three things at a time. So, I had to cut down my January 2021 list of things of importance in Data Modeling in this new, fine year (I hope)! Looking at them from above, as we […]
Generally Accepted Data Modeling Principles
What can data modelers learn from accountants? Accounting is a solidly established practice that the world cannot live without. One of the established guidelines for accountants is called GAAP (Generally Accepted Accounting Principles in the US), and there are similar international setups. You might guess these standards are about rules, but actually, accounting is much […]
On the Business Value of a Conceptual Data Policy Definition
Click to learn more about author Daniele Gianni. Concerns on the collection, use, and dissemination of data are central to many enterprises that directly deal with customer data to provide information services. These concerns originated from an increasing awareness of the value of privacy as well as recent government regulations, not only aiming to protect […]
How to Overcome the Challenges of Using a Data Vault
Click to learn more about author Eva Murray. What Are the Challenges? From flexibility to scalability and efficiency, using a data vault as your Data Modeling approach has many benefits. But simultaneously there are challenges that you need to be aware of. In this blog I’m going to walk you through the limitations and how […]
Learning from Complex Data Modeling Practices
Click to learn more about author Thomas Frisendal. Now is a good point in time to look at best practices in database design for SQL databases. Are there things that could have been easier to do if the SQL designers had had absolute foresight? Of course, the answer is yes. But what is most important […]
Knowledge Graphs: A Single Source of Truth for the Enterprise
Click to learn more about author Dr. Jans Aasman. The notion of a “single source of truth” for the enterprise has been the proverbial moving goalpost for generations of CIOs, only to be waylaid by brittle technology and unending legacy systems. Truth-seeking visions rebuffed by technological trends have continuously confounded business units trying to achieve growth […]
To Grok or Not to Grok Data Models: A Summer Special
Click to learn more about author Thomas Frisendal. We need something light – yet still important – to ease our minds in the summertime. As a data modeler I have often experienced serious disconnects between not only business people and myself, but also between the real world and the vocabulary and definitions attributed to it. […]
Productizing IT Services for Data Management Projects
Click to learn more about author Digvijay Lamba. Many organizations overcome a lack of data engineers by outsourcing their Data Management needs to IT service providers. Startups, small and mid-sized businesses, and even larger organizations are rich in domain expertise but inexperienced in preparing data for insights, which is why they hire outsiders to perform […]
Roll Call: Visual Graph Data Models Today
Click to learn more about author Thomas Frisendal. Preamble: Five years ago, I wrote a book about a new approach to Data Modeling — one that “turns the inside out.” It discussed visual Graph Data Modeling. For well over 30 years, relational modeling and normalization were the name of the game. One could ask that […]
The Structure of Concept Models
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 […]