The growing popularity of IoT, sensor networks, and other telemetry applications lead to the collection of a vast amount of time series data, which enables forecasting for a multitude of use cases from application performance optimization to workload anomaly detection. The challenge is to automate a historically manual process handcrafted for the analysis of a single data series of just tens of data points to large scale processing of thousands of time series and millions of data points.
Date : August 22, 2019 at 09:11PM
Tag(s) : #IOT ENG,#IOT,Time series data
