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From the Founder and CEO, Cloudscale Inc.

Bill McColl

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Top Stories by Bill McColl

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. 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)

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)

The Realtime Cloud Arrives

Two weeks ago I wrote about "The Need for Speed" in cloud computing, and asked "Who is going to build the low-latency cloud for enterprise customers?". Today Werner Vogels and his team at Amazon announced their Cluster Compute Instances offering. This is a very important step forward towards the kind of realtime, high performance cloud that customers such as Cloudscale require to deliver the next generation of cloud services. In our case, it means we now have three distinct alternatives for deployment of our massively parallel realtime data warehouse architecture: standard public... (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)