Midway through Big Data Week at the Data Roundtable, Thomas Redman drops by to argue a better definition, while detailing the dangers of a “wait and see” attitude as it pertains to Big Data…
It’s Wednesday on Big Data Week, and Jim Harris expands upon the definition of Big Data by looking at quality and structure…
As we continue Big Data Week at the Data Roundtable, David Loshin steps in to examine the benefits of analysis platforms like Hadoop and the problems with latency …
Rich Murnane continues Big Data Week at the Roundtable, as he wonders if Big Data is all a misunderstanding…
Joyce Norris-Montanari kicks off Big Data Week at The Data Roundtable! We asked our experts for their thoughts on Big Data, and they responded in a big way. Joyce begins her post with a simple question…
Ludwig Mies van der Rohe (March 27, 1886 – August 17, 1969) was a German-American architect. Among the famous quotes attributed to him is “less is more.” In other words, blame minimalism at least partially on him.
Now, for your data-overwhelmed folks, I understand the desire for…
If we took a poll, I bet that more people would cite The Goal as the most influential book on quality of all time. Devotees might note the importance of Goldratt’s theory of constraints as the feature they liked best. But most would cite its readability. Over three million copies have been sold.
Some strong storms recently caused an extended disruption in the Internet service provided by my local cable company, which provided me with an opportunity to test the reliability of my new smartphone’s mobile broadband connectivity, as well as see just how unlimited my unlimited data plan really is.
I think that the biggest issue with integrating external data into the organization (especially for business intelligence purposes) is related to the question of data repurposing. It is one thing to consider data sharing for cross-organization business processes (such as brokering transactions between two different trading partners) because those data exchanges are governed by well-defined standards. It is another when your organization is tapping into a data stream created for one purpose to use the data for another purpose, because there are no negotiated standards.








