Untangling Events, part 2

by Philip Howard,  Bloor Research
The purpose of this series of articles is to identify if all of the different approaches to handling events are part of a single market or whether they should be treated as separate. In the first article I outlined six characteristics for handling events: monitor, filter/aggregate, correlate, alert, store and report. [...]

Has Cloud Computing Jumped the Shark?

by Eric Knorr, InfoWorld.com
So many vendors have jumped on the cloud computing bandwagon, the phrase already risks jumping the shark. The problem is that “cloud computing” has two distinctly different meanings: The use of commercial Internet-based services, and the architecture for building and deploying such services.
InfoWorld has adopted the former definition. Last April we boiled [...]

Risk Management Lessons From 2008

by Geoff Considine, seekingalpha.com
Ben Stein recently expressed a feeling that many people share with regard to 2007-2008: how could equities lose so much value so fast? Ben puts it this way:
“…we have learned that even the most rigorous back testing of portfolios did not work during this period. The reason was simple — [...]

Applying data warehousing principles to event processing

by Philip Howard,  Bloor Research
It is now pretty much agreed that in data warehousing environments you need a massively parallel processing (MPP) architecture in order to handle very large data volumes. The important factor is that you have local processing close to each disk in order to improve performance rather than moving all of the [...]

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