#HORTONWORKS STORM UI BROWSER DRIVERS#
This system takes into consideration adverse weather conditions, the driver’s driving patterns, current traffic conditions and other criterions to alert and inform the management staff and the drivers themselves to mitigate risks. Using this solution illustrating Modern Data Architecture with Hortonworks Data Platform, we have developed a centralized management system that can help reduce risk and lower the total cost of operations. The Trucking business is a high-risk business in which truck drivers venture into remote areas, often in harsh weather conditions and chaotic traffic on a daily basis. So the tutorial Transporting Realtime Event Stream with Apache Kafka needs to be completed before the next steps of this tutorial. In the previous tutorial, we explored collecting and transporting data using Apache Kafka. events of interest are analyzed to detect significant events.those are processed to create events of interest, and.This produces increasingly richer event streams, as data flows through the pipeline: In an event processing pipeline, each stage is a purpose-built step that performs some real-time processing against upstream event streams for downstream analysis. In this tutorial, we will explore Apache Storm and use it with Apache Kafka to develop a multi-stage event processing pipeline.
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