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From the Founder and CEO, Cloudscale Inc.

Bill McColl

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Top Stories by Bill McColl

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 mention four that I’m particularly interested in, that are exciting and challenging, and that I think will have a huge impact on the industry. If you have others in mind, then feel free to add your ideas. Here are my four areas for what they’re worth: Cloudbursting. Seamlessly and automatically migra... (more)

NoHadoop: Big Data Requires Not Only Hadoop

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)

The Consumerization of Big Data Analytics

With Dropbox, Jive, Yammer, Chatter and a number of other new services, the modern enterprise is rapidly becoming "consumerized". And it's not just business, the same is happening in major web companies, on Wall Street, in government agencies, and in science labs.  Thirty years of bad "enterprise software" experiences is making this transition happen much more quickly than anyone would have expected. The shift to cloud computing is also accelerating the trend, as is the goal of developing a much more "social" approach to business. The other major change that's going on today thr... (more)

The Economics of Big Data: Why Faster Software is Cheaper

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)

Cloud Analytics Checklist

Cloud Data Analytics on Ulitzer In the previous article we looked at how realtime cloud analytics looks set to disrupt the $25B SQL/OLAP sector of the IT industry. What are users looking for from a next-generation post-SQL/OLAP enterprise analytics solution? Let's look at the requirements: Realtime + Historical Data. In addition to analyzing (historical) data held in databases (Oracle, SQLServer, DB2, MySQL) or datastores (Hadoop, Amazon Elastic MapReduce), a next-gen analytics solution needs to be able to analyze, filter and transform live data streams in realtime, with low la... (more)