The Publisher Analytics platform leverages MongoDB, a document-oriented database adept at handling high volumes of information, well suited for large scale data processing and most famously used at CERN for handling data generated by the Large Hadron Collider.
Ramin Keene, Stockopedia CTO, said: “We’ve been using MongoDB for an experimental internal analytics system, monitoring activity by our 100,000+ users and around 20,000 investment topics, stocks and sectors. We felt confident that we could expand the application using the same architecture at scale for all our users to have access to personalised, real time analytics about how the investment community is interacting with their content. Our aim is to ensure that our tools keep the Stockopedia userbase - whether they be investors, financial publishers or listed companies - as informed as possible, as instantaneously as we possibly can.”
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Tuesday, February 1, 2011
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