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 […]
Generative AI and Semantic Compliance
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 […]
Generally Accepted Data Modeling Principles
What can data modelers learn from accountants? Accounting is a solidly established practice that the world cannot live without. One of the established guidelines for accountants is called GAAP (Generally Accepted Accounting Principles in the US), and there are similar international setups. You might guess these standards are about rules, but actually, accounting is much […]
The Future History of Time in Data Models
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 […]
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 […]
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, […]
Data Models That Build Themselves
Click to learn more about author Mike Brody. Self-service Business Intelligence (BI) is about bridging the knowledge gap that has historically separated business professionals from their data. It’s about doing away with intimate knowledge of information systems as a prerequisite for finding out last quarter’s growth margin. And when it comes to replacing SQL statements with […]
MarkLogic Transforms the Database Market with MarkLogic 9
by Angela Guess According to a recent press release, “MarkLogic Corporation, the leading operational and transactional Enterprise NoSQL database provider, launched MarkLogic 9, the latest release of the world’s best database for integrating data from silos. With new data integration, security and manageability capabilities, MarkLogic 9 enables organizations to more rapidly, easily and affordably achieve […]
Nuxeo Adds Persistence Engine for MarkLogic Enterprise NoSQL Database
by Angela Guess A recent article out of the company reports, “Nuxeo, developers of the Nuxeo Platform, which enables organizations to manage complex digital content at massive scale, and MarkLogic Corporation, a leading operational and transactional Enterprise NoSQL database provider, today announced the Nuxeo Platform now supports the MarkLogic® Enterprise NoSQL database as a storage […]