Category: Analytics

Disadvantages of Rule-Based Systems (Part 1)

Posted on 03/05/10 8 Comments

In Orwellian Event Processing the discussion moved away from my original intent, which was primarily to discuss the vendor-state-of-denial regarding the prior art for processing complex events, and gravitated toward a discussion on the “inefficiencies” of rule-based systems.  I was surprised learn that there are professionals who believe that there is no basis in fact [...]

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What’s Really Happening in the World of CEP

Posted on 12/15/09 6 Comments

There is quite a lot is happening in the world of complex event processing.  Interestingly enough, the people and the companies advancing processing complex events are not calling what they are doing “CEP the Buzzword” we read about in the press or that a handful of “pioneers” claim make them modern-day CEP “experts”. The companies [...]

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Complex Event Processing in the Belly of the Beast

Posted on 09/22/09 5 Comments

Around 10 years ago I worked as Technical Director for SAIC as a member of an elite group of Internet security experts.   I was responsible for a number of very large global financial corporations (well, actually two).  The leader of our division, called The Center of Information Protection (The CIP), was a very intelligent [...]

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GeoIP and Geo-Targeting

Posted on 09/08/09 No Comments

Lately I have been busy with a web-based geo-targeting project.   For those of you not familiar with geo-targeting, the deeper you get into geo-targeting, the more you realize how important and interesting it is. Geo-targeting is used for fraud detection, personalization, ad-targeting, content-delivery, and more.   In addition, the same basic concept is used [...]

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Mahout on Elastic MapReduce: Running k-means Clustering

Posted on 05/07/09 No Comments

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 [...]

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CloudFront LogAnalyzer on Amazon Elastic MapReduce

Posted on 05/07/09 No Comments

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 [...]

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KMeans Clustering Now Running on Elastic MapReduce

Posted on 04/19/09 1 Comment

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 [...]

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[ANNOUNCE] Apache Mahout 0.1 Released

Posted on 04/08/09 1 Comment

The Apache Lucene project is pleased to announce the release of Apache Mahout 0.1. Apache Mahout is a subproject of Apache Lucene with the goal of delivering scalable machine learning algorithm implementations under the Apache license.  The first public release includes implementations for clustering, classification, collaborative filtering and evolutionary programming. Highlights include: Taste Collaborative Filtering [...]

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A Review of Zabbix – Zabbix Rules! (Part 2)

Posted on 03/23/09 2 Comments

In A Review of Zabbix – Zabbix Rules! (Part 1) we provided a brief introduction to Zabbix in the context of network and security management.  In this post I will discuss Zabbix as an event processing platform. Zabbix is like most event processing platforms.  Zabbix provides both agent-initiated events as well as server-requested events.  In [...]

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A Review of Zabbix – Zabbix Rules! (Part 1)

Posted on 03/20/09 No Comments

It was 1992, the Internet was still an uncertain “dream technology” by scientists, and I was working at SprintLink.   My role was the lead systems engineer to set up the network and security management center for SprintLink and Managed Router Network (MRN) team. We used HP Open View Network Node Manager (NNM) for our core [...]

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