Complex data models have now become the norm. A single stream of the data can travel through many hubs, and many different technologies. It may travel through the front end, the APIs, the Kafka pub/sub systems, Lambda functions, ETLs, data lakes, data warehouses, and more. Riding within this stream of data is the schema, and […]
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 […]
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 […]
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 […]
Digital Transformation: Eight Tips for Selecting Digital Technology
Click to learn more about author Manikandan (Mani) Seetharaman. Selecting technology is a challenging and complex task, particularly for global organizations. Screening available options that fit basic needs is the easy first step, but the real work lies in determining how far to advance from there. Multiple considerations need to be balanced, so having a […]
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! […]
Graph Databases in the Spotlight
Graph databases are distinguished by relationships. Users can query, for example, the connections that relate a customer to an account that he or she owns, or how many degrees of separation exist between Kevin Bacon and Audrey Hepburn. Ontologies are a key underpinning, providing a data model to describe things in a database. Metadata and […]