
By Bill McColl | Article Rating: |
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March 18, 2010 06:45 AM EDT | Reads: |
15,699 |

Virtualization Track at Cloud Expo
SQL was the first-generation Big Data tool, and MapReduce/Hadoop was the second-generation tool. Unfortunately, neither of these tools has the characteristics required to break into the mainstream of data analytics, where there are now over 100 million business professionals (non-programmers) grappling with exponentially growing data volumes that they simply can't handle.
However, a new third generation of tools for Big Data is now emerging that offer the scalability, parallelism, performance and data flexibility of tools like Hadoop, but, unlike Hadoop, can also continuously process realtime data streams. Moreover, these new tools are as easy to use as a spreadsheet.
With Cloudscale, an ordinary business user can now develop realtime analytics apps in minutes that would take a team of expert programmers months, and anyone can now sit in Excel and with one click launch an app on billions of rows of data that would normally take days to compute, but the user gets the answer from the cloud in 2 minutes.
Published March 18, 2010 Reads 15,699
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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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