Real-time air quality monitoring and alerting – Part 2 – Training Azure Anomaly Detector

In the first part of this series, I looked at how you can use a sensor from PurpleAir to capture data on the quality of the air at a location and then route that information to a custom IoT endpoint in Microsoft Azure. The captured data on its own is not that useful, and really … Continue reading Real-time air quality monitoring and alerting – Part 2 – Training Azure Anomaly Detector →

Easy Filtering of IoT Data Streams with Azure Stream Analytics and JSON reference data

I am currently working on an next-gen widget dispenser solution that is gradually being rolled out to trial sites across Australia. The dispenser hardware is a modern platform that provides telemetry data that can be used for various purposes by the locations at which the dispenser is deployed and potentially by other third parties. In … Continue reading Easy Filtering of IoT Data Streams with Azure Stream Analytics and JSON reference data →

June 24: I’m talking about Azure HDInsight at Sydney ALT.NET

Myself and my colleague Jibin Johnson will be talking about Microsoft's cloud Big Data story based on Azure HDInsight and Power BI. Come along and see how Microsoft is making use of the Power of the Elephant in the Cloud! http://sydney.ozalt.net/2014/06/june-24-big-data.html

Not Your Father’s Cloud: Microsoft Azure HDInsights Explained

If you need to understand the format of this post, take a look at my introduction to the series. Like A Boss HDInsights is designed to help tame the Big Data beast by providing an on-demand Apache Hadoop solution hosted on Azure. You can create a Cluster of between 1 and 32 Nodes and use standard Hadoop tools like … Continue reading Not Your Father’s Cloud: Microsoft Azure HDInsights Explained →