July 2014 HUG : Pushing the limits of Realtime Analytics using Druid
1) The presentation discusses Druid, an open source analytics engine that can perform aggregations on memory mapped data in sub-second time. 2) It describes how Druid fits into their software stack at the API layer and how they extend its capabilities through a SQL interface and addressing limitations like limited querying and missing features like distinct counts. 3) Examples of SQL queries again
Big Data Pipeline and Analytics Platform Using NetflixOSS and Other Open Source Libraries
Big Data Pipeline and Analytics Platform Using NetflixOSS and Other Open Source Libraries Netflix collects over 100 billion events per day from over 1000 device types and 500 apps/services. They built a big data pipeline using open source tools like NetflixOSS, Hadoop, Druid, Elasticsearch, and RxJava to ingest, process, store, and query this data in real-time and perform tasks like intelligent al
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All is well and good if we content ourselves with computations that can be distributed efficiently such as summing hourly revenue to produce daily revenue, or calculating click-through rates. In the language of Gray et al., the former calculation is distributive: we can sum the raw event prices to produce hourly revenue over each combination of dimensions and in turn sum this intermediary for furt
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Druid | Meet the Druid and Find Out Why We Set Him Free
GitHub - metamx/druid: Real²time Exploratory Analytics on Large Datasets
