[slides] #Hadoop for Streaming Data @CloudExpo @MapR #BigData #AI #IoT

Apache Hadoop is emerging as a distributed platform for handling large and fast incoming streams of data. Predictive maintenance, supply chain optimization, and Internet-of-Things analysis are examples where Hadoop provides the scalable storage, processing, and analytics platform to gain meaningful insights from granular data that is typically only valuable from a large-scale, aggregate view. One architecture useful for capturing and analyzing streaming data is the Lambda Architecture, representing a model of how to analyze real-time and historical data together. In his session at Big Data Expo, Dale Kim, Director of Industry Solutions at MapR, covered the practice of capturing canonical data "as it lands" as a baseline for accommodating future analytics requirements. Speaker Bio Dale Kim is Director of Industry Solutions at MapR.