Data@Scale Boston is right around the corner, and Twitter will be there to discuss how Crashlytics processes massive amounts of data related to crash reporting in real-time. Read the full abstract below and check out the agenda at dataatscaleboston.splashthat/. “Scaling Crashlytics Answers - Real time high-volume analytics processing with the lambda architecture.” In the fifteen seconds that it takes you to read this, Answers will have processed 12,000,000 events in support of its actionable, insightful, and real-time mobile analytics dashboards. Learn how it leverages the lambda architecture and probabilistic algorithms to handle this influx of information. Well dig into how the two pillars of the lambda architecture - off-line, batch processing and real-time, stream-compute processing come together to help us achieve a scalable, fault-tolerant, real-time data processing system.
Posted on: Sat, 08 Nov 2014 17:00:03 +0000
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