For thirty years, in-house databases and data warehouses have been used to store and query data, but they are no longer able to deliver what's required today in business, web, science and government. Businesses now need to continuously analyze exploding volumes of live data in real-time in order to be able to respond immediately to opportunities and threats. With the shift from in-house to cloud computing, and the exponential growth of parallel processing, we can now build a new generation of cloud-based architectures that are much easier to use, easier to scale, and can process the torrential streams of live data now flooding out from the web, enterprise software, social networks and sensors, and process it while the data is still hot. This session will describe some new directions in this area of massively parallel cloud computing, as we begin to build powerful new cloud services on top of commodity resource layers and management tools such as AWS.

Speaker Bio:
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. 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.