The data that’s collected from IoT devices lacks contextual information, which makes it difficult to find and analyze sensors quickly. Time Series Model enables curation and augmentation of time series data by creating a ontology of types and hierarchies utilizing time series properties.
By utilizing instance properties, user can define types and hierarchies to create an ontology and enriched aggregation for time series model data which will enable getting more insights from the IoT data.
Azure Time Series Insights (TSI) is an end-to-end IoT analytics service featuring flawless user experiences and rich APIs. I implemented “model authoring” and “instance search” features to contextualize time series data and explore it in a hierarchical view for easy navigation.
ClientIndustrial customers in IoT analytics space (energy, manufacturing, automotive, logistics), cloud developersYear2021-2022ServicesDesigner, Researcher, Front-end DeveloperToolsReact, Figma, Jest, D3, JavaScript, HTML, SCSSLinklearn.microsoft.com