Within the evolution of technology in education, Learning Analytics has reserved its position as a robust technological field that promises to empower instructors and learners in different educational fields. The 2014 horizon report (Johnson et al.,
As I write this column, I am at my office on Main Street in San Francisco. When I’m done here, I’ll head back to my house in the Richmond District to pick up some luggage as I head to SFO. Then I’m off to JFK, my hotel in Midtown, 10 [...]
Europe needs to pursue a different strategy from Silicon Valley if it is going to reap the social and economic benefits of big data, according to Dirk Helbing, Professor of Computational Social Science at ETH Zurich, who aims to create an open, real-time data stream from the Internet of Things.
dby Jelani Harper Trends in the Data Management space tend to emerge rapidly and mature slowly. Those that will most impact the way that Data Management is conducted throughout the coming months are explored below. These capabilities for managing data effectively represent the maturation of a number of different technologies, platforms, and capabilities that will pave the way for how this field is practiced.
The whole "Internet of Things" theme reached a fever pitch at this year's CES in Las Vegas. Many of the big tech players are trying to become the platform for how to connect together the growing list of devices with wireless technology inside of them--everything from your car to your thermostat. Google's [...]
Think Microsoft has been making ground in the file storage space? You're right. Recent research from Nasuni, a cloud storage management company, shows Microsoft Azure beats Amazon Web Services S3 and Google Cloud Storage in the enterprise storage space. Topic: Information Management.
This year marks the 42nd Canadian federal election. In the current political context, it is generally understood that information is power. However, this data is only made powerful when it can be properly cultivated, analyzed and shared with people w...
The landscape of data gathering and analysis is rapidly changing as the amount of data generated in conjunction with data sources and means of extracting data continues to accelerate. One of the key issues is how to most efficiently and effectively realize value from this seemingly boundless sea of unstructured (Big) data.
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