| By Bill McColl |
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| January 11, 2010 10:45 PM EST |
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9,386 |
Cloudcel on Ulitzer
Data is revolutionizing how we live and work, and it's growing exponentially everywhere.
Faced with this information explosion, experienced programmers are now using parallel processing tools such as MapReduce/Hadoop, rather than SQL databases, to analyze large repositories of stored, historical data.
The next major step in this direction is to bring the full power of advanced data mining and analytics, realtime stream processing, and massively parallel computing to everyone, not just to experienced programmers.
The cloud is central to bringing about this radical change in how we process data of all kinds.
Hundreds of millions of "non-programmers" routinely use technologies such as Excel spreadsheets to handle their data challenges.
With Cloudcel
, any one of these non-programmers can now, for the first time, simply and seamlessly exploit the full power of realtime, highly parallel cloud computing.
Those already using SQL or MapReduce/Hadoop, also now have an easy-to-use massively parallel cloud technology that can handle realtime as well as stored, historical data.
Bill McColl left Oxford University to found Cloudscale. At Oxford he was Professor of Computer Science, Head of the Parallel Computing Research Center, and Chairman of the Computer Science Faculty. Along with Les Valiant of Harvard, he developed the BSP approach to parallel programming. He has led research, product, and business teams, in a number of areas: massively parallel algorithms and architectures, parallel programming languages and tools, datacenter virtualization, realtime stream processing, big data analytics, and cloud computing. He lives in Palo Alto, CA.
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