The technology industry is fond of rounding out the year with predictions for
the twelve months ahead. It's almost as if our arbitrary notion of
calendar-driven time should be guaranteed to herald the arrival of the next
paradigm shift or platform change.
Of course we know that in reality, change and development happens
continuously and this is especially so in IT. Rather than a ‘what to expect
in the year ahead' discussion, let's instead look at some of the darker
truths that currently stem from the data universe we are all currently trying
Arguably one of our biggest mistakes in terms of our use of technology is the
rush to data. Data data data, we have to have it. To be clearer, now that we
know something about what so-called ‘Big Data' is supposed to be... we seem
to be happiest when building new data stores and identifying new and
We can reasonably break down the core imperatives of data analytics into
three essential areas. Firms that wish to gain the full potential out of
engaging in data analytics today are obliged to at least recognize these
rudimentary cornerstones as the central building blocks of data intelligence:
Prepare Model Automate
By way of clarification, there are probably a whole lot more than three steps
to consider here - but calling out this threesome is a prudent step in what
(for many IT shops) are still early days with technologies such as Hadoop and
its wider world of Big Data.
Data ... (more)
The Next Paradigm Shift: An ‘Immersive' User Interface
Major product cycle changes tend to come around roughly every five years or
so. The technology industry is fond of labeling these movements as paradigm
shifts, but we've all heard too many of those things referenced, so let's not
Looking back over the last decade and the emergence of touch, our appetite
for richer controls is never long satisfied. As soon as one finger touch
arrived we wanted two-finger touch. Pinch and zoom wasn't far behind and
multi-user touch soon followed.
But it wasn't enough.
Forefront or v... (more)
Forget Location, Location, Location: Cloud Is All About Workload, Workload,
What do we know so far about cloud computing? Well, first the hype-cycle
slowed down and we started realizing that hybrid cloud (as a combination of
public and private resources) was a relatively sensible idea, i.e., from both
an expenditure (public) and security (private) perspective. Now we know which
data and processing tasks to put where - and when, right?
Not exactly, it's still not all quite crystal clear in cloud is it?
The nomenclature, taxonomy and classification of the cloud are all part... (more)
In the wake of Oracle's acquisition of Sun Microsystems, many of us
questioned whether we would actually see the company's annual JavaOne
developer conference and exhibition take place.
Industry commentators and analysts have been postulating over possible the
emergence of a new and more commercially driven iteration of the Java
programming language and platform. Initial signs of this becoming a reality
have come with the announcement of a new Java Store to showcase applications
in front the 800 million desktop Java technology users worldwide. So it
seemed that overall, it's busi... (more)