The opinions expressed in this blog are mine and mine only. They do not represent or reflect those of my employer, Embarcadero Technologies, a database tools and developer software company. Feel free to link to any blog post you find helpful/interesting/informative, leave a comment or subscribe to the feeds.
Data modeling mistakes are all too common and easily made. We’ve all been there: a shortcut here, a compromise there, an over-modeling over there. In this presentation, Karen Lopez demonstrates five classic and all-too-common data modeling mistakes that are easy to make and yet just as easy to avoid.
Watch the full length presentation on the Embarcadero Developer Network
Want to be more productive with data modeling? Then try ER/Studio for free for 14 days.
It is great to see a standard body like the Association for Retail Technology Standards adopt so many of Embarcadero’s database software tools within their organization. The standards division of the National Retail Federation will use the ER/Studio, DBArtisan and Change Manager to develop new data models, XML standards, and contribute to the development of retail technology standards.
According to Richard Mader, executive director of ARTS, “Through our agreement with Embarcadero, we will now have the optimum tools to develop new data models and XML standards as well as enhance what we already have in place,” said Mader. “We’ve heard loud and clear from our volunteer committee that they could benefit from tools that allow for multiple concurrent users and that generate formats which are compatible with other modeling tools. Now we’re able to answer that call.”
You can read the full press release online at www.embarcadero.com, or by clicking here: http://bit.ly/2qVblI
Jason Tiret is the director of modeling and design solutions for Embarcadero Technologies. In this role, he oversees Embarcadero’s award-winning data modeling and design products. Jason counts more than a decade of experience in data modeling, metadata and database management.
He has consulted with many Fortune 500 companies and has been a frequent speaker on the topics of data architecture, metadata and data governance. Jason received a bachelor’s degree in mathematics from the University of California at Davis.