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From the Founder and CEO, Cloudscale Inc.

Bill McColl

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Top Stories by Bill McColl

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 own apps - business apps, web apps, financial apps,... Until recently, when we thought about business applications, we thought about the kinds of big software systems sold by SAP, IBM, Oracle and the like. In practice, much of what keeps businesses going is the vast numbers of "small apps" d... (more)

Is This the End of Enterprise Software?

The future of enterprise software is the platform. No software company has all the smart people in the world on its payroll. Apple recognized this and created the App Store. Google are now doing the same. These new cloud platforms will unleash unprecedented innovation and creativity throughout all areas of business and the web, with thousands of new apps being created that will revolutionize IT. Enterprise software has always been unpopular - it has always been expensive, slow, complex and clunky. The only people who actually like it are the software vendors who sell it, and the... (more)

Hadoop and Realtime Cloud Computing

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)

What's Really Industry Changing About Cloud Computing?

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)

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)