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Time Series & Stream Processing for Internet of Things (IoT) Applications

The Internet of Things (IoT) is the concept of an ubiquitous network of devices to facilitate communication between the devices themselves as well as between the devices and humans. Processing data from IoT devices lends itself to the 'Big Data approach'. This means using scale-out techniques on commodity hardware, in a schema-on-read fashion along with open interfaces, such as the Apache Spark API.

In this talk we will talk about common requirements for an IoT data processing platform, review a real-world IoT use cases (world largest biometric database, automotive sector, etc.) and discuss a reference architecture for IoT data processing, focusing on time series and stream processing.
Recorded Nov 5 2014 43 mins
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Michael Hausenblas, Chief Data Engineer EMEA MapR Technologies
Presentation preview: Time Series & Stream Processing for Internet of Things (IoT) Applications

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  • Title: Time Series & Stream Processing for Internet of Things (IoT) Applications
  • Live at: Nov 5 2014 11:00 am
  • Presented by: Michael Hausenblas, Chief Data Engineer EMEA MapR Technologies
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