Applying Machine learning to IOT: End to End Distributed Distributed Pipeline for Realtime Uber Montoring Dashboard using Apache APIs: Kafka Spark HBase
This discusses the architecture of an end-to-end application that combines streaming data with machine learning to do real-time analysis and visualization of where and when Uber cars are clustered, so as to analyze and visualize the most popular Uber locations.
Streaming Architecture to Connect Everything (Including Hybrid Cloud) - Strat...
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Architecture decision records - How not to get lost in the past
Applying Machine learning to IOT: End to End Distributed Distributed Pipeline for Realtime Uber Montoring Dashboard using Apache APIs: Kafka Spark HBase