CEP Thinking: A Dream, Wishful Thinking or Incompetance?

I have been troubled by CEP marketing lately.   It started when I read a statement by John Davies in his post Algorithmic trading with Twitter.
In his post, John boldly wrote to Peter Lin, and the world:
Peter,
The fuzzy logic is exactly what CEP companies specialise in, ….
-John-
I could not understand how someone who [...]

Predicting Future Outcomes by an Event Prediction Community

As we have seen, one of the best ways to predict global events is by placing the possible event outcomes in the community (marketplace).   Here is a (free) Event Prediction Marketplace where technical folks in a community can  place their virtual  (not cash) bets on technology, science and technology M&A events (or non-events) such [...]

Apama’s Good Adsense

I think the following is a very good Google Adsense ad by Apama.     I see this ad running on a number of sites:
Stream Processing Engine
Now you can monitor, analyze and act on streaming event data.
www.Progress.com/apama
The ad above is accurate and does not confuse complex event processing with stream processing.
Great job Apama!  Thanks for [...]

More Fallacy and Misinformation in CEP-Land

I thought we had seen the last of the darkest days of folly, falsehoods and hype around “complex event processing” and then I read Why does ‘complex event processing’ have to be so complex? by Joe McKendrick.  Here is some of the marketing nonsense:
I recently had the opportunity to join David, along with Brenda Michelson, [...]

Processing Complex Events at the Large Hadron Collider (LHC)

Here is an excellent Google TechTalk by Dr. Majorie Shapiro (LBL & LHC ATLAS), June 18, 2007, on processing complex events at the LHC called, Supersymmetry, Extra Dimensions and the Origin of Mass: Exploring the Nature of the Universe Using PetaScale Data Analysis.
This is really what I would call “real-time CEP.”  Bean collisions at the [...]

Mahout on Elastic MapReduce: Running k-means Clustering

Following up on KMeans Clustering Now Running on Elastic MapReduce, Stephen Green has generously documented the steps that was necessary to get an example of k-Means clustering up and running on Amazon’s Elastic MapReduce (EMR) on the Apache Lucene Mahout wiki.

Mahout on Elastic MapReduce by Stephen Green
As a side note, there has been considerable [...]

CloudFront LogAnalyzer on Amazon Elastic MapReduce

The Amazon Elastic MapReduce team has a sample application, CloudFront LogAnalyzer, designed to analyze Amazon CloudFront access logs. This tool provided users with the power of Amazon Elastic MapReduce to quickly turn access log data into actionable intelligence.
Access logs are activity records about all requests delivered through Amazon CloudFront and contains a valuable set [...]

KMeans Clustering Now Running on Elastic MapReduce

Stephen Green, blogger and principal investigator of the AURA project in Sun Labs, has moved the state-of-the-art of analytics-as-a-service a few steps forward with the first documented working Mahout application on Amazon’s Elastic MapReduce (EMR).
EMR was announced on April 1st and on April 15th Stephen announced to the Mahout users group that he was going [...]

Copyright © 2007-2008, The CEP Blog, All Rights Reserved.