The idea of using event processing in "software as a service" mode is not new; thanks to Marco's Blog, I came across an article describing the StreamInsights cloud service. The rationale behind it is that it should be used in cases that it is more cost-effective to customer relative to purchasing expensive hardware needed for processing large volumes of events. This is part of the general trend to use the cloud for various purposes. I assume that this will be one of the main ways that event processing will be consumed in the future.
This is a blog describing some thoughts about issues related to event processing and thoughts related to my current role. It is written by Opher Etzion and reflects the author's own opinions
Showing posts with label streaminsight. Show all posts
Showing posts with label streaminsight. Show all posts
Saturday, February 9, 2013
Monday, June 11, 2012
Adding voice to event processing
Richard Seroter reports on a demo he constructed using the cloud version of Microsoft Streaminsight and Twillio services to get situation detected by event processing and then send a voice message as a notification, he also outlines the code behind this demo (a video clip with the demo itself would be cool addition).
In this case the voice is being used as event consumer to send notifications, it will also be interesting, but of course more challenging to have voice as producer for events, actually there are some works done on this area and I'll try to get more details and report on it.
Saturday, March 10, 2012
Event processing as reducer in Map Reduce
A relatively recent posting from MSFT. In this posting there is a question about the relationship between the batch oriented Map Reduce, and the on-line oriented event processing. The answer, according to MSFT is - event processing can be used as a reducer in the Map Reduce, where there are multiple copies of an event processing engine perform the reduce function.
I have written before about offline event processing, with the insight that event processing is useful not only in online, but in offline, since it provides both efficient implementation and high-level abstraction in certain functions (pattern matching, aggregation and more) that makes it also attractive to use in batch.
Of course, another synergy may be using event processing within real-time hadoop, like Darkstar. as is frequently articulated by Colin Clark.
I have written before about offline event processing, with the insight that event processing is useful not only in online, but in offline, since it provides both efficient implementation and high-level abstraction in certain functions (pattern matching, aggregation and more) that makes it also attractive to use in batch.
Of course, another synergy may be using event processing within real-time hadoop, like Darkstar. as is frequently articulated by Colin Clark.
Tuesday, May 3, 2011
Event processing for oil and gas -- Microsoft Streaminsight presentation
A video describing some event processing applications (mainly aggregations) for the oil and gas industry with Microsoft Streaminsight has been posted. It explains some of the principles of event driven architecture, then the "standing queries" Microsoft Streaminsight architecture and some use cases. Another evidence that event processing can be used for all industries. Enjoy!
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