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 […]
A Brief History of Data Modeling
Data Modeling is the “act” of creating a data model (physical, logical, conceptual, etc.) and includes defining and determining an organization’s data needs and goals. The act of Data Modeling defines not just data elements, but also the structures they form and the relationships between them. Developing a data model requires the data modelers to work […]
Should You Consider a Unified Data Model?
A unified data model allows businesses to make better-informed decisions. How? By providing organizations with a more comprehensive view of the data sources they’re using, which makes it easier to understand their customers’ experiences. A singular, interrelated network that’s connected to one source of truth gives organizations a more efficient, accurate, and comprehensive analysis of […]
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 […]
Connecting the Three Spheres of Data Management to Unlock Value
Many organizations have mapped out the systems and applications of their data landscape. Many have documented their most critical business processes. Many have modeled their data domains and key attributes. But only very few have succeeded in connecting the knowledge of these three efforts. The remainder of this point of view will explain why connecting […]
Achieving Smoother, Quicker Data Modeling
When the Navy SEALS embraced its motto, “Slow is smooth, and smooth is fast,” they may as well have been discussing building data models in the same breath. The SEALS chose the phrase to remind its participants not to rush but to act thoughtfully and deliberately. Data Modeling does the same thing by helping businesses design and update data architectures […]
The Future of Data Modeling in Data Governance
The process of Data Modeling is playing an increasingly important role when creating or improving a Data Governance program. Data Governance has become extremely complex, and the use of Data Modeling promotes understanding. One basic reason for the increasing complexity is the expanding use of data analytics for purposes of research. Another reason is complying […]
2022 DATAVERSITY Top 20
Every December, we here at DATAVERSITY set aside time to dig through our data and reflect on the hits and misses of the year. We want to know: Which content did you, our data-loving readers, consume and enjoy the most? Which Data Management topics and experts helped you learn valuable new skills, succeed at your […]
It’s All About Relations!
The new ISO 39075 Graph Query Language Standard is to hit the data streets in late 2023 (?). Then what? If graph databases are standardized pretty soon, what will happen to SQL? They will very likely stay around for a long time. Not simply because legacy SQL has a tremendous inertia, but because relational database paradigms […]
A Guide to Time Series Databases
Time series databases (or TSDBs) are databases that have been optimized for processing time series data. Time series data is made up of data records that are indexed using timestamps. The timestamps provide a reference for each of the data records and show how they relate to one another in time. An example of time […]