In an interesting article today, Matt Asay argues that Amazon may soon
surprisingly emerge as a leading player in the enterprise software industry,
and not just as a low-end cloud hardware provider. Stephen O'Grady of Redmonk
also wrote on this theme, with his article on the rise of AWS, and its
ongoing growth into all kinds of areas of the software industry.
The idea that many big IT vendors are putting out, that Amazon is just a
"retailer", and will quickly be overtaken by the established vendors, is a
big mistake on their part. AWS is winning because it is exploiting three big
factors - commodity hardware pricing, open source software, and startups. In
the modern software world, where the game is "Developers, Developers,
Developers", this is a strong winning hand. Others can compete, but they will
have to compete on all three fronts. Or change the game. I, for one,... (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)
For twenty years, analytics has been viewed as just one specific area within
the broader relational database industry. So, analytics has meant databases.
Today that view is changing. Over the past year or so, a new movement, the
"NoSQL" movement has emerged promoting the advantages of doing a variety of
kinds of analytics without using any relational database technologies at all.
Whatever one thinks of the capabilities and limitations of distributed
key-value stores relative to relational databases, one thing is clear - the
stranglehold that SQL has held over all aspects of data an... (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