Click to learn more about author Steve Miller. I met up with a grad school friend of 40 years the other day. While he earned a doctorate and became an academic luminary, I departed the program with a masters in statistical science and went on first to the not-for-profit and then to the business worlds. […]
Building the Pillars of Data Modeling and Enterprise Architecture
Ron Huizenga believes it’s possible for an organization to reach an enlightened state where users can “understand the journey of their data through the entire organization.” That entails knowing when the data was created, the processes that use it, being aware of how it’s transformed on its way through the organization, and ultimately, knowing when […]
Next and Prior: Pointing in Data Models
Click to learn more about author Thomas Frisendal. Pointers have been in and out of data models. From the advent of the rotating disk drive in the 60s and until around 1990, pointers were all over the place (together with “hierarchies”, which were early versions of aggregates of co-located data). But relational and SQL made them […]
Implementing Bitemporal Modeling for the Best Value
Click to learn more about author Mike Brody. Bitemporal Modeling is an extremely useful tool for documenting historical data. It allows you to recreate databases as they existed at any point in the past and see whether the records were correct — based on what you know to be true now. This information can not only […]
Bitemporal Data Modeling: How to Learn from History
Click to learn more about author Mike Brody. Have you ever called about a real estate listing only to learn that the house has been taken off the market? Or had to pick up mail that should have been routed to your new home? Sometimes our records don’t reflect reality, and bitemporality exists to keep track […]
The Value of Strong Metadata Discovery
Too often professionals such as Data Analysts, Data Architects, and Compliance Specialists find themselves at a loss when it comes to being able, on their own, to discover, understand and use the rich Metadata within large enterprise ERP and CRM applications. It becomes complicated, costly, and time-consuming for these users to pull relevant business-context subsets […]
The Emergence of ”Metadata Science”? Using Graph Technology for Data Modeling
Click to learn more about author Thomas Frisendal. Building Data Models from Meta Models Recently, I worked with a government client on a Knowledge Graph kind of project. Being government, much of their data is public information. And, consequently, so are the data models. Instead of diagramming the same data all over again, I decided […]
The Leader’s Data Manifesto: Time to Focus on Why Data Management Matters
The Leader’s Data Manifesto, originally unveiled at the Enterprise Data World 2017 Conference, continues to generate attention from data professionals. The Manifesto counts hundreds of signatories at this point, expressing their support of its vision for data and information to be truly valued and managed as a business asset. Signers-on include Data Quality managers, Chief […]
Press Release: Now Accepting Speaking Proposals for the 2019 Enterprise Data World Conference
June 27, 2018 – DATAVERSITY Education, LLC and DAMA International opened the Call for Presentations today for the 23rdannual Enterprise Data World Conference (EDW), which will be held March 17-22, 2019, at the Sheraton Boston Hotel in Boston, Mass. Proposals must be received by Aug. 17 in order to be considered. For more event details and […]
Data Modeling and NoSQL: Innovation and Flexibility
Hackolade offers an array of Data Modeling tools designed for various NoSQL databases. Their software is user-friendly, while providing powerful graphics. These features, combined with flexible HTML model documentation, provide a visual blueprint for each application. Hackolade’s output is similar to a CAD printout produced by a draftsman or architect. The blueprint promotes discussion. Pascal […]