by Angela Guess Svetoslav Marinov recently wrote in Information Management, “A friend of mine recently reminded me of the notorious quote from Frederick Jelinek (the father of modern speech recognition), “Anytime a linguist leaves the group the recognition rate goes up.” I remember being quite upset about it, back during my lnguistics studies. Is it […]
Why Non-Tech Execs Should Understand Data Modeling
by Angela Guess Eran Levy recently wrote in Smart Data Collective, “For many non-technical individuals in the business world, data modeling can seem like a strange and somewhat terrifying realm. Even those who are data-savvy and regularly consult and analyze data in their day-to-day operations will often view modeling as perplexing under-the-hood stuff that is […]
Documenting Data Models
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 […]
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 […]
A Conceptual Data Model is Physical
Click here to learn more about Donna Burbank. Conceptual data models are a tool that I use frequently in my consulting practice, and I’ve found them invaluable as a way to communicate technical information concepts to a business audience. But, too often, the term “conceptual data model” comes with some negative baggage. Perhaps it is the […]
Glassbeam Unveils Data Transformation and Edge Computing Capabilities for Its IoT Platform
by Angela Guess According to a new article out of the company, “Glassbeam, Inc., the machine data analytics company, announced today two revolutionary product enhancements for the IoT analytics market. Glassbeam Studio™ is the IoT industry’s first data transformation and preparation tool focused on automating cumbersome manual work required to convert raw machine log data into […]
Operational Data Model Quality
Click to learn more about author Michael Blaha. Quality is an underappreciated aspect of data models. The purpose of a model is not just to capture the business requirements, but also to represent them well. A high quality model lessens the complexity of development, reduces the likelihood of bugs, and enhances the ability of a […]
Embarcadero Announces ER/Studio 2016 with Expanded Data Modeling
by Angela Guess A new article out of the company reports, “Embarcadero Technologies (recently acquired by IDERA), a leading provider of database lifecycle management solutions, today released ER/Studio® 2016, a powerful data architecture solution that combines multi-platform data modeling, design and reporting with cross-organizational team collaboration for data architectures and enterprises of all sizes. The […]
Foreign Keys and the Delete Performance Issue
Eventually you’ll run into a simple delete instruction that takes minutes (I mean, years!) to get executed. It’s just a hundred-row table, and, still, it takes a lifetime to get the rows deleted. Here’s a small tip: you’re probably missing some indexes. Foreign Keys and their dirty secrets There is a very basic, yet very […]