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
Business analytics is, of course, a major established sector of the IT
industry, but it's one that's ripe for disruption. Twenty years of SQL/OLAP
analytics have created a $25 Billion market, but the impact of SQL/OLAP
analytics on the enterprise has been far less impressive than many had hoped.
Only a relatively small fraction (5%-10%) of those grappling with information
overload from explosively growing enterpr... (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)
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)
Big data is creating a massive disruption for the IT industry. Faced with
exponentially growing data volumes in every area of business and the web,
companies around the world are looking beyond their current databases and
data warehouses for new ways to handle this data deluge.
Taking a lead from Google, a number of organizations have been exploring the
potential of MapReduce, and its open source clone Hadoop, for big data
processing. The MapReduce/Hadoop approach is based around the idea that
what's needed is not database processing with SQL queries, but rather
dataflow computin... (more)