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 few have moved back to SQL, but the much
more significant trend is that, having come to realize the capabilities and
limitations of MapReduce and Hadoop, a whole raft of new post-Hadoop
architectures are now being developed that are, in most cases, orders of
magnitude faster at scale than Ha... (more)
Bill McColl's "Cloud N" Blog
This is an incredibly important time for the cloud computing area. But
let’s try and move the discussion of it in the press along from an
obsession with new datacenter buildings located by power stations, with the
total server numbers at Microsoft and Google, and with Amazon’s hourly
pricing for EC2. Interesting though those aspects of cloud computing appear
to be to journalists, they hardly represent what is really industry changing
about cloud computing.
What are some of the new directions in the massively parallel cloud computing
space? I’ll mentio... (more)
Cloud Data Analytics on Ulitzer
Cloud analytics is hot. Gartner's top two strategic technologies for the
enterprise in 2010 are cloud computing and advanced analytics. In their words
"Technologies you can't afford to ignore".
Venture capitalist Ann Winblad, in a recent video, points out that the coming
era of realtime cloud analytics will have a revolutionary impact on the
enterprise, creating a radically new "innovation palette" for businesses of
all kinds.
Business analytics is, of course, a major established sector of the IT
industry, but it's one that's ripe for disruption. T... (more)
Over the past five years, MapReduce and Hadoop have been widely used for
processing big data from the web, both in-house and in the cloud. However, we
are now in an era where news, search, marketing, commerce and many other key
aspects of the web are becoming much more social, more mobile, and more
realtime. In response to these changes, major web companies are realizing
that the "big data analytics" that is driving many of their services needs to
be radically changed in order to move it into this realtime era. No company
sees this more clearly than Google, the company that origi... (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)