Click here to learn more about author Michael Blaha. A diffuse relationship is one of a group of similar relationships, which broadly apply to entities in a model. We can show them explicitly, but such an approach can become verbose and obscure the deeper content of a model. We coined the term “diffuse relationship” as […]
Big Data and Small Data: What’s the Difference?
Click here to learn more about author Sahil Miglani. The technology domain has witnessed a dramatic growth in the recent past. Methodologies have changed, new ways have been adopted by companies to accomplish these desired tasks. No wonder this change will continue to rise as steadiness in this domain looks bleak. One of the key […]
Can Data Science and Big Data Improve Design?
Click here to learn more about author Dr. Rahul Razdan. A question for Designers and Data Scientists alike: Can members of the latter empower representatives of the former? Which is to say, can design – a discipline dependent on the artistic ability and the qualitative skills of a given person – become better and more […]
Data Modeling: Why Not 3D?
Click here to learn more about author Thomas Frisendal. Data Models are meant to communicate structure of information to recipients, who need to understand it. But who are these recipients? In fact, they are human beings. Given that, we should choose our means of communication to be the most effective that we can find. Other […]
Four Database Options for Migrating Applications to the Cloud
Click to learn more about author Jeff Boehm. Independent software vendors (ISVs) are on the front lines of an on-demand market, one in which their customers require immediate and continuous access to services and applications. As such, they are turning to the cloud to support elastic scale, rapid growth expectations, and a “pay as you […]
The Road to Prediction: Using Unstructured Data
Click here to learn more about author Bryan Bell. Prediction is tough and rarely a guarantee. If we were able to predict the future, there would be no Vegas, or at minimum a much poorer version. Weather would cause fewer surprises and the World Series, the Davis Cup, the Stanley Cup, the World Cup, the […]
How to Empower the Citizen Data Scientist
Click to learn more about video blogger Stefan Groschupf. Introducing the Big Data & Brews video blog series presented by Stefan Groschupf, CEO of Datameer. The series will touch on hot topics within the business of Machine Learning, Big Data, Analytics, Internet of Things, Cloud Computing, Modern BI, NoSQL and Next Generation Technologies. In today’s video […]
How to Avoid Messing Up Big Data Analytics
Click to learn more about author Ravi Shankar. “Big Data” is still in the news these days, but the story has evolved from describing what it is to how an organization can actually use all that data for actionable intelligence, or “Big Data Analytics”. In fact, Forbes just reported on a Honeywell study of 200 manufacturing […]
New Meaning in Big Data
Click to learn more about author Jon Bock. The evolution of data analytics is approaching an inflection point. Early on, discussions of big data served largely to create awareness about the potential of mining large-scale data. Those discussions evolved over time into how to build solutions that could handle that data and stories of how […]
Efficient Machine Learning in H2O with R and Python, Part 1
Click to learn more about author Steve Miller. One of the major benefits of working with R and Python for analytics is that there’re always new and freely-available treats from their vibrant open source ecosystems. And now more and more, data scientists are able to reap the benefits of working with data in R, Python […]