“Graph is leaving a larger and larger footprint. And that is good,” said Thomas Frisendal in Knowledge Graphs and Data Modeling. Gartner named knowledge graphs as part of an emerging trend toward digital ecosystems, showing relationships among enterprises, people, and things, and enabling seamless, dynamic connections across geographies and industries. Elisa Kendall and Deborah McGuinness, […]
A Brief History of Data Management
Data Management is the organization of data, the steps used to achieve efficiency, and gather business intelligence from that data. Data Management, as a concept, began in the 1960s, with ADAPSO (the Association of Data Processing Service Organizations) forwarding Data Management advice, with an emphasis on professional training and quality assurance metrics. Data management has […]
Better Data Modeling with Lean Methodology
The process used today in systems development started with principles developed for assembly lines in the 1950s, when manufacturers wanted a more disciplined approach to producing goods and services.Products would come off an assembly line, they’d be inspected, defects would be found, and would be sent back to rework or start from scratch. This process […]
What Every Business Leader Needs to Know About Data Modeling
The COVID-19 pandemic has meant that data-driven decisions have influenced all our lives over the last two years. But decisions made without proper data foundations, such as well-constructed and updated data models, can lead to potentially disastrous results. For example, the Imperial College London epidemiology data model was used by the U.K. Government in 2020 […]
A Brief History of Data Architecture: Shifting Paradigms
Data Architecture is a set of rules, policies, and models that determine what kind of data gets collected, and how it gets used, processed, and stored within a database system. Data integration, for example, is dependent on Data Architecture for instructions on the integration process. Without the shift from a programming paradigm to a Data […]
Data Modeling Trends in 2022
A data model should show the relationships that exist between various customers, concepts, products, among many. Data Modeling describes the creation of a visual representation (a chart or diagram) of a data system, or parts of that system. It is used to display and communicate connections between objects/concepts and shows their relationships. The goal of […]
Tales of Data Modelers
Reading Larry Burns’ “Data Model Storytelling” (TechnicsPub.com, 2021) was a really good experience for a guy like me (i.e., someone who thinks that data models are narratives). I agree with Larry on so many things. However, this post is not a review of Larry’s book. Read it for yourself – highly recommended. Reading it triggered […]
Quick, Easy, and Flexible Data Model Diagrams
Click to learn more about author Thomas Frisendal. Many of us have a lot to do. And we have short delivery cycles, sprints, and a lot of peers to share data models with. In search of something lightweight, which is quick and easy, and may be produced (or consumed) by other programs? Stay with us on a […]
What’s in a Name? (aka Data Modeling What?)
Click to learn more about author Thomas Frisendal. This is a summer special, on the lighter side, but addressing a simply overwhelming issue at times. What Are You Talking About? Sometimes the obvious is not that … obvious. Many people know that I am on the graph-y side of the house. But explaining a simple matter like […]
How Hedge Funds Utilize Data Trends
Click to learn more about author Tom Wilson. In the hedge fund industry, where investors need to act according to the current circumstances in order to benefit from them, it’s more important than ever for hedge fund managers to know and ride the latest data trends. Further, the investing trends that show significant growth and promise […]