Click here to learn more about author Michael Blaha. Once you’ve created a data model, how do you document it? You need to deliver the model’s content to others – to business sponsors, other developers, and posterity for purposes that you may not envision. This article looks at options for documenting data models and their […]
Execs Starting to Take Charge of Modeling and Analyzing Data
by Angela Guess Hugo Moreno reports in Forbes, “According to a recent Forbes Insights executive brief, “Decisions, Decisions: How Leading Firms Are Arming Frontline Executives With Data-Driven Insight,” sponsored by Qlik, business executives are no longer satisfied with the long waiting periods, high costs and questionable quality of data- driven decision support being developed on […]
Enterprise Data World 2016: 8 Data-Driven Takeaways
How do you transform your enterprise from being data-incompetent to data-driven? How do you incorporate and leverage your legacy data assets with your latest Big Data assets? How do you successfully implement Data Quality, Data Governance, and Master Data Management into your existing business and IT structures without causing undue chaos or friction? How do […]
Modeling Webinar: Graph Databases – Where Do We Do the Modeling Part?
To view just the slides from this presentation, click HERE>> About the Webinar Graph processing and graph databases have been with us for a while. However, since their physical implementations are the same for every database in production (Node connected to node, or triplets), there’s a perception that data modeling (and data modelers) have no […]
Modeling Slides: Graph Databases – Where Do We Do the Modeling Part?
Graph Databases – Where Do We Do the Modeling Part? from DATAVERSITY To view the On Demand recording of this presentation, click HERE>> About the Webinar Graph processing and graph databases have been with us for a while. However, since their physical implementations are the same for every database in production (Node connected to node, […]
Ten Reasons Why Developers Ignore Data Models — Revisited
Click here to learn more about author Michael Blaha. Here is a follow- up on my blog from several months ago on “Ten Reasons Why Developers Ignore Data Models.” Paraphrasing, reader Lawrence Hecht asked via Twitter if there is any way to tell from a schema if the developers had used a data model. A […]
Parallax Acquires Data Modeling Solution ERwin from CA Technologies
by Angela Guess A recent article out of the company reports, “Private equity firm Parallax Capital Partners today announced that it has completed the acquisition of data modeling software ERwin from CA Technologies (Nasdaq: CA). It will now operate as ERwin, Inc., and will be led by IT industry veteran Adam Famularo, who today has […]
Modeling Webinar: Data Governance in an Agile SCRUM Lean MVP World
To view just the slides from this presentation, click HERE>> This webinar was sponsored by: About the Webinar Most of us learned data modeling via a waterfall-driven methodology lens. Yet Agile and other modern development methods have for the most part assumed that data governance is an anti-pattern to just getting things (software) done. Well […]
Modeling Slides: Data Governance in an Agile SCRUM Lean MVP World
Data Governance in an Agile SCRUM Lean MVP World from DATAVERSITY To view the On Demand recording, click HERE>> This webinar was sponsored by: About the Webinar Most of us learned data modeling via a waterfall-driven methodology lens. Yet Agile and other modern development methods have for the most part assumed that data governance is […]
Names, Naming, and Ontology
Click here to learn more about author Adam Pease. Last month I looked at representing some simple statements with binary relations. This month, let’s look at what is possibly an even more fundamental issue, that of naming. It comes up often in knowledge representation and people can have very strong opinions about the “right” name […]