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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)

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)

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)

Cloud Analytics

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)