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
Today, every organization needs to become as expert at exploiting "Big Data"
as leading edge companies such as Google and Facebook have become. So how are
they going to get in the game? How is the ordinary business professional, for
example, going to handle the explosively growing volu... (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)
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)
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)
Virtualization Track at Cloud Expo
SQL was the first-generation Big Data tool, and MapReduce/Hadoop was the
second-generation tool. Unfortunately, neither of these tools has the
characteristics required to break into the mainstream of data analytics,
where there are now over 100 million business professionals (non-programmers)
grappling with exponentially growing data volumes that they simply can't
However, a new third generation of tools for Big Data is now emerging that
offer the scalability, parallelism, performance and data flexibility of tools
like Hadoop, but, unlik... (more)