Real Time Analytics with MongoDB - Part 3
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Published on May 23, 2012
comSysto has built a showcase application for Stream Event Processing and Real-Time Analytics to present the almost limitless possibilities of modern scalable software architectures based on NoSQL databases deployed in the Cloud.
Real-time processing and visualization of large and high-frequency event streams is one of the most common Big Data use cases.
A sharded MongoDB on Amazon EC2 represents the scalable heart of our system allowing four-digit throughput rates per second. Therefore we will discuss design patterns like mongoDB aggregation framework, map-reduce and pre aggregation that enables us to do dynamic live charting with comSysto's "Ubercharts" open-source project.
It integrates the popular open-source charting library Highcharts into the leading web framework Apache Wicket for high-productivity Analytics Development. A data access layer based on Spring Data and REST interfaces bridges MongoDB and Ubercharts.
Take a look at the presentation!
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