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)

25 Years of Big Data: From SQL To The Cloud

Cloudcel on Ulitzer Back in 1985, the world was pre-web, data volumes were small, and no one was grappling with information overload. Relational databases and the shiny new SQL query language were just about perfect for this era. At work, 100% of the data required by employees was internal business data, the data was highly structured, and was organized in simple tables. Users would pull data from the database when they realized they needed it. Fast forward to 2010. Today, everyone is grappling constantly with information overload, both in their work and in their social life. Most ... (more)

Cloud Computing: The Need For Speed

The spectacular predictions for cloud revenue growth over the coming decade depend critically on the success of cloud providers in persuading major enterprise customers to deploy many of their mission-critical systems in the cloud rather than in-house. Today's cloud users are overwhelmingly web companies, for whom the low cost of cloud computing, together with simple elastic scaling are the critical factors. But major enterprises are different. In looking at the cloud option, their first major concern is security. This is well documented, has been discussed to death in cloud blog... (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)