Recognition has been a long-time coming for data virtualization. As a technology, it has been something of a pre-adolescent, the child actor who couldn’t make the transition to adult roles. While revolutionary in its approach, early forms of data virtualization were just not ready for prime time, suffering from performance and scalability issues. The norm […]
This was a question posed today at an Insight session on data-centric security and privacy. The issue is vexing, and it is rapidly becoming more so. Consider this: most countries have privacy legislation. Some, like the US, are industry focused. Others, like EU nations, are more oriented on individual rights. But while they all set […]
I just attended a session at IBM Interconnect on Devops Analytics. I expected a few nice BI style charts and so on. But these guys are thinking big. The problem can be described relatively simple: you are running a devops team and you need to push out a new build as soon as possible. Even […]
How fitting that Valentine’s Day is approaching as I am writing this post. How will you express your Valentine’s wishes this year? Via email or text? Facebook message? “Heart me” picture on Instagram or Snapchat? Or maybe a good, old-fashioned card or letter? I’ve recently been pondering the volatile character of our current communications. We […]
As a guy who began his career two decades ago as a data analyst, stringing those three words together (“drowning in data”) in the subject line wasn’t easy…but sadly it can be true. One of my challenges as a consultant is managing the amount of data that I work with. A good majority of my […]
If you haven’t noticed yet, big data has become big in the last few years, and data science has become the next big profession. That is, if you believe the Internet, where predictions are made that Chief Data Scientist roles could displace CIO positions. But technology trends come and go. Some reach dazzling heights before […]
Those of us older than 35 can vividly remember the Y2K scare perpetrated on the computing public by a variety of fear mongers two decades ago. Leading the doom and gloom scenario were the vendors most likely to profit from fixing the supposed problems. The widely held view was that most computer software and hardware […]
The industry is all a-buzz a-tweet with ‘Big Data’ problems. Like all good hot industry buzzwords, its exact definition is about as easy to pin down as I am after too much caffeine. It’s generally defined as deriving value from data which has volume, velocity and complexity that defy traditional methods of analysis.