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From the Founder and CEO, Cloudscale Inc.

Bill McColl

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Top Stories by Bill McColl

Data is growing exponentially everywhere - in business, web, finance, government, science, and in the world of sensors and smart grids. Speaking earlier this week at OSBC, Tim O'Reilly said  "The future will be all about who has most data, and who is able to extract meaning from it and deliver it in real time".  He noted that the IT industry is now in the process of being reinvented around the idea of realtime analysis of "Big Data" in the cloud, as a must-have adjunct to the much more limited kinds of data processing and analytics that can be performed on desktop PCs or mobile devices. Today, every organization needs to become as expert at exploiting "Big Data" as leading edge companies such as Google and Facebook have become. So how are they going to get in the game? How is the ordinary business professional, for example, going to handle the explosively growing volu... (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)

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)

Got Excel? Go Cloud in 2010

Cloudcel on Ulitzer At the recent Hadoop World conference, Doug Cutting, Hadoop Project Founder, remarked that "The Dream" was to provide non-programmers with the power of parallel cloud computing tools such as MapReduce and Hadoop, via simple, easy-to-use spreadsheet-like interfaces. With Cloudcel, the non-programmers of the world (and the programmers too!) can "live that dream" today. Not only can you develop and launch massively parallel MapReduce/Hadoop-style cloud computations, simply and seamlessly from within the standard Excel interface, you can also go way beyond tools ... (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)