A Shiny App for Monitoring Real-Time Data Stream

This is an app developed with Shiny and R for visualizing real-time data stream. In this recording, the app ran locally, while I downloaded raw data collected from a set of Raspberry Sensor Hat devices stored in Azure cloud storage to a local disk to mimic a data pipeline for acquiring data with a batch processing.

In production, the app may run as a service locally or in cloud and a data pipeline configuration can be part of Cortana Intelligence Suite to automatically move data from cloud to local storage and vice versa for implementing  an end-to-end Machine Learning and IoT solutions.