Click to learn more about author Thomas Frisendal. Timely Concerns in Data Models In June I published a blog post called Timely Concerns in Data Models. In summary the concerns that I mentioned in June were: Roles of time (such as Valid Time, Recorded Time, As-Is vs. As-Of, Read timelines, Time Series), The scope of […]
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 […]
The History of Time in Data Models
Click to learn more about author Thomas Frisendal. In my last blogpost Timely Concerns in Data Models, we looked at the basic challenges of dealing with time dependencies in Data Modeling. I promised to continue this quest by going over the history of these issues. How well have we actually solved these challenges? So, hop […]
DataEd Slides: Data Modeling is Fundamental
DataEd Slides: Data Modeling is Fundamental from DATAVERSITY To view the On Demand recording of this presentation, click HERE>> About the Webinar Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, […]
DataEd Webinar: Data Modeling is Fundamental
To view just the slides from this presentation, click HERE>> About the Webinar Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with […]
IDERA Slides: Lean Data Modeling for any Methodology
Lean Modeling for Any Methodology from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> Original Air Date: June 18, 2019 This Webinar Sponsored by: About the Webinar With changes in software development methodologies, the role of the data modeler has changed significantly. In many organizations, data modelers now find themselves […]
IDERA Webinar: Lean Data Modeling for any Methodology
To view just the slides from this presentation, click HERE>> Original Air Date: June 18, 2019 This Webinar Sponsored by: About the Webinar With changes in software development methodologies, the role of the data modeler has changed significantly. In many organizations, data modelers now find themselves on the outside looking in, relegated to documentation “after […]
Data Governance and Data Architecture: There is No Silver Bullet
In terms of a market perspective, Data Governance has increased in visibility partly because of the increase in security breaches, data security issues, and compliance requirements for various industry regulations. To secure and manage data properly, it helps to manage it at a higher level and know which of your data is sensitive in the […]
Data Modeling in the Machine Learning Era
Machine learning (ML) is empowering average business users with superior, automated tools to apply their domain knowledge to predictive analytics or customer profiling. The article What is Automated Machine Learning (AutoML)? discusses a prediction that by 2020, augmented analytics capabilities will play a key role and be a “dominant driver” in the growth (and purchase) […]
Timely Concerns in Data Models
Click to learn more about author Thomas Frisendal. The Component Parts of Data Models Back in March 2019 I published a post here on DATAVERSITY® titled The Atoms and Molecules of Data Models. The objective was to scope ”a universal set of constituents in data models across the board”. I used this classic data model, […]