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Modeling Slides: Supertyping and Subtyping

Modeling with Graeme

This presentation was given in a live webinar on August 28, 2014 Big Challenges in Data Modeling: Supertyping and Subtyping from DATAVERSITY To view the On Demand recording of this presentation, click HERE>> This Month’s Topic Focus: Supertyping and Subtyping About the Webinar We invite you to join us in this monthly DATAVERSITY webinar series,…

The Ubiquitous Data Model

ubiquitous data model 2

by Michael Brackett Traditional data models cover the extremes from generality and commonality to detail and specificity. They also range from providing a full understanding of the data based on the business to rapid physical implementation for immediate use. Such extremes lead to data that are not thoroughly understood and a disparate data resource. The…

The Big Data Skills Gap is Real (Seriously)

Interviews

by Angela Guess James Bessen of the Harvard Business Review recently wrote, “Every year, the Manpower Group, a human resources consultancy, conducts a worldwide ‘Talent Shortage Survey.’ Last year, 35% of 38,000 employers reported difficulty filling jobs due to lack of available talent; in the U.S., 39% of employers did. But the idea of a…

The Classroom of the Future

Winifred Holtby with Tweendykes - classroom CGI

by Angela Guess James O’Brien of Mashable recently wrote, “The days of paper textbooks seem destined to become as distant a memory as cursive handwriting. In 2014, big data is reshaping the way students receive curriculum and learn, and the tools of the new and digital classroom are changing the dynamics for educators. ‘Data is…

Making Big Data More Actionable for Health

Bacteria

by Angela Guess Niven R. Narain of Wired recently wrote, “The 21st Century has seen technology contribute life-altering realities like getting from New York to Beijing in less than 14 hours or grandparents using Facetime to see their newly anointed ‘Princes’ and ‘Princesses’ of future generations. New technologies have not only democratized widespread access of…

11 Great Things Being Done with Big Data

cii

by Angela Guess Dennis McCafferty of CIO Insight recently wrote, “One company is using big data to improve the aviation industry’s on-time performance. Another is turning to analytics to streamline the launch of complex marketing campaigns. A third is reducing its environmental impact through these tools. By now, it’s clear that the potential for data…

Could Your Big Data Use a Little Cold Storage?

Blue ice

by Angela Guess Mary Shacklett of TechRepublic recently wrote, “There has been significant enterprise focus on tiered storage algorithms that route data to the most appropriate storage media based upon how frequently the data needs to be accessed, with particular attention paid to tier one, the most rapid access storage for data that requires quick…

Big Data, Not a Robot, is the Workforce of the Future

robots

by Angela Guess Mark P. Mills of Forbes recently wrote, “Just in time for Labor Day, in the thick of the restaurant-heavy summer season, the New York Times reported: ‘Restaurant industry experts are predicting that the fast food business will undergo a technological revolution in the next few years that will place increasing numbers of…

What Comes After “Big Data”?

tamr

Gregory T. Huang of Xconomy recently wrote, “The premise of big data, at least, is easy to grasp: more and more information is being collected, stored, and analyzed, from click streams to sales records to mobile-device locations. What hasn’t been easy is translating all that data into insights that help organizations make better decisions. That…

A Next Generation of Big Data “Fabrics”

Down Under Fabric

by Angela Guess Michael Bushong of Plexxi recently wrote for Inside Big Data, “In the data center, we are seeing applications move to a scale out model – lots and lots of nodes with distributed operation. This is a direct result of large increases in the amount of data required for certain types of calculations…