[StampedeCon] Big Data Meets IoT: Lessons From the Cloud on Polling, Collecting, and Analyzing

Big Data Meets IoT: Lessons From the Cloud on Polling, Collecting, and Analyzing - StampedeCon 2016 from StampedeCon

[Josef A. Habdank] Extreme Apache Spark: how in 3 months we created a pipeline that can process 2.5 billion rows a day - 파이프라인 구성 (0)	2016.09.06
[Josef A. Habdank] Airfare prediction using Machine Learning with Apache Spark on 1 billion observed airfares daily - 항공료 예측 (0)	2016.09.06
[StampedeCon] Using Multiple Persistence Layers in Spark to Build a Scalable Prediction Engine - 예측엔진 구성 (0)	2016.09.06
[Jivan Nepali] Crystal Ball Event Prediction and Log Analysis with Hadoop MapReduce and Spark (0)	2016.09.06
[Jongwook Woo] Big Data Platform adopting Spark and Use Cases with Open Data (0)	2016.09.05

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