| By Bill McColl | Article Rating: |
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| August 5, 2009 06:46 PM EDT | Reads: |
624 |
A realtime data explosion is underway throughout business, finance, government, health, media, science, sensors and the web. Individuals and organizations that had only recently figured out how to cope with thousands or millions of events per day are now drowning in billions of realtime events per day, and for leading organizations the number is rapidly heading towards ONE TRILLION EVENTS PER DAY. Gigabyte databases are history, multi-terabyte datastores are now routine even for small businesses, and for leading web businesses the size is now in the petabytes.

The challenges of this realtime data explosion are not just being felt by leading web businesses such as the Internet 10 (Google, Microsoft, Yahoo, eBay, Facebook,...). Its spreading like crazy: Internet 10 -> Fortune 500 -> Global 2000 -> SMBs -> Gov -> facebook/Twitter users -> EVERYBODY! We now have an exponentially growing demand for realtime apps that can analyze, process, filter and intelligently correlate the incredible volumes of realtime data that are now streaming continuously into private datacenters and public clouds all across the world.
The following are just some of the application areas where the need for powerful new realtime apps is now critical: Advertising, Recommendation, Pricing, Clickstreams, Trading, Risk, Fraud, Compliance, data.gov, defense, Itelligence, Healthcare, News, Sentiment, Blogs, Buzz, Genomics, Biotech, Security, Datacenters, Networks, Traffic, RFID, Energy Grids, Online Games, Social Networks, Lifestreams, Location-Based Services.
Realtime intercloud analytics will enable these and many other apps to be developed and deployed simply and quickly from desktop or mobile clients, unleashing a new wave of creativity around realtime apps that will have a profound impact on how we live and work.
Published August 5, 2009 Reads 624
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More Stories By Bill McColl
Bill McColl is Founder and CEO, Cloudscale Inc. - which is developing a massively parallel cloud-based platform for continuous real-time intelligence on live data streams.
In 2006, he left Oxford University Computing Laboratory where for over twenty years he had been head of research in parallel computing and scalable systems. At the time of his departure, he was Professor of Computer Science and Chairman of the Faculty of Computer Science. McColl has published and lectured extensively on the design, analysis and implementation of massively parallel algorithms and systems.
He established and led Oxford Parallel, a major center for research on industrial and business applications of parallel computing at the university. He was also founder and CEO of Sychron Inc., a Silicon Valley VC-backed software company developing massively parallel system software for datacenter and desktop virtualization. Cloudscale Inc.is his second Silicon Valley company.
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