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R: Blog post frequency anomaly detection

I came across Twitter’s anomaly detection library last year but haven’t yet had a reason to take it for a test run so having got my blog post frequency data into shape I thought it’d be fun to run it through the algorithm. I wanted to see if it would detect any periods of time when the number of posts ...

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What Are The Advanced Apache Hadoop MapReduce Features?

Overview The basic MapReduce programming explains the work flow details. But it does not cover the actual working details inside the MapReduce programming framework. This article will explain the data movement through the MapReduce architecture and the API calls used to do the actual processing. We will also discuss the customization techniques and function overriding for application specific needs. Introduction ...

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Level up your Monitoring with Application Performance Management

Getting started with APM Application Performance Management, or APM, is the monitoring and management of the availability and performance of software applications. Different people can interpret this definition differently so this article attempts to qualify what APM is, what it includes, and why it is important to your business. If you are going to take control of the performance of ...

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Git me the log

There are times that as a developer who primarily responsible for the deployment can use a little helping hand on getting the right source and builds for a release. After all, the artefacts coming out of it can be the same one that’s going to be deployed in production. It’s really important that we check each and every code commits ...

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How to create your first HIVE script?

Overview Apache Hive is an integral part of Hadoop eco-system. Hive can be defined as a data warehouse like software which facilitates query and large data management on HDFS (Hadoop distributed file system). One must remember that Hive is not data warehouse software rather it provides some mechanism to manage data on distributed environment and query it by using an ...

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Truly Unleashing the Power of Maven and Java EE

Ambition and vision can be the undoing of great solutions, if they are too complex to use. While Maven and Java EE are technologies that are well established throughout the Java industry, it can be extremely tricky to get started with them and to architect projects using all the techniques and patterns that their authors intended you to use. How often do applications, ...

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Workshop in a Can: Setup a JBoss BRMS Full Day Workshop

java-interview-questions-answers

Looking for an easy way to promote, present or demonstrate how easy it is to get started with JBoss Business Rules Management System (BRMS) product? Look no further as we have pulled together this workshop so that you can construct an evening, half day or full day session of learning around JBoss BRMS. You can setup this workshop and run ...

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Neo4j: The football transfers graph

Given we’re still in pre season transfer madness as far as European football is concerned I thought it’d be interesting to put together a football transfers graph to see whether there are any interesting insights to be had. It took me a while to find an appropriate source but I eventually came across transfermarkt.co.uk which contains transfers going back at ...

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Bugs and cracks

Compile-time and run-time villains. Consider the software system on which you currently work. Would you release that system with 31,197 bugs? Not potential bugs, mind; actual identified bugs. If you answer yes to this then you can stop reading now. This post is not for you. Taking a ridiculously simplistic view of software, we can split software development into three ...

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Consuming java.util.concurrent.BlockingQueue as rx.Observable

Classical producer-consumer pattern is relatively simple in Java since we have java.util.concurrent.BlockingQueue. To avoid busy waiting and error-prone manual locking we simply take advantage of put() and take(). They both block if queue is full or empty respectively. All we need is a bunch of threads sharing reference to the same queue: some producing and others consuming. And of course ...

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