The future of enterprise software is the platform. No software company has
all the smart people in the world on its payroll. Apple recognized this and
created the App Store. Google are now doing the same. These new cloud
platforms will unleash unprecedented innovation and creativity throughout all
areas of business and the web, with thousands of new apps being created that
will revolutionize IT.
Enterprise software has always been unpopular - it has always been expensive,
slow, complex and clunky. The only people who actually like it are the
software vendors who sell it, and the armies of integrators and consultants
who struggle to make it work.
The "consumerization of the enterprise" is an idea that's been around for a
few years, but it's now at a tipping point, and from here on we will see a
rapidly accelerating shift to a new generation of business software system... (more)
Over the past few years, Hadoop has become something of a poster child for
the NoSQL movement. Whether it's interpreted as "No SQL" or "Not Only SQL",
the message has been clear, if you have big data challenges, then your
programming tool of choice should be Hadoop. Sure, continue to use SQL for
your ancient legacy stuff, but when you need cutting edge performance and
scalability, it's time to go Hadoop.
The only problem with this story is that the people who really do have
cutting edge performance and scalability requirements today have already
moved on from the Hadoop model. A ... (more)
In big data computing, and more generally in all commercial highly parallel
software systems, speed matters more than just about anything else. The
reason is straightforward, and has been known for decades.
Put very simply, when it comes to massively parallel software of the kind
need to handle big data, fast is both better AND cheaper. Faster means lower
latency AND lower cost.
At first this may seem counterintuitive. A high-end sports car will be much
faster than a standard family sedan, but the family sedan may be much
cheaper. Cheaper to buy, and cheaper to run. But massively ... (more)
Early Bird at CLoud Expo
In computing, big revolutions happen whenever a new technology comes along
that enables everyone to do something that could previously only be done by a
small number of technology experts, or only by those with tons of money and
technical talent. Personal computing (Microsoft, Apple), Publishing (Adobe),
Search (Google), Video (YouTube), News/Journalism (blogs) are all examples of
this kind of disruptive revolutionary change. What's the next big game
changer? In a word - Apps! We are about to move to an era in which everyone
will be able to build their o... (more)
Data is growing exponentially everywhere - in business, web, finance,
government, science, and in the world of sensors and smart grids.
Speaking earlier this week at OSBC, Tim O'Reilly said "The future will be
all about who has most data, and who is able to extract meaning from it and
deliver it in real time". He noted that the IT industry is now in the
process of being reinvented around the idea of realtime analysis of "Big
Data" in the cloud, as a must-have adjunct to the much more limited kinds of
data processing and analytics that can be performed on desktop PCs or mobile