9 docs tagged with "data-sources"

Explore the available interfaces in the Transpara system, including their use cases and how they enable data integration from various sources for Visual KPI.

Learn the foundational concepts of Transpara Visual KPI, including KPIs, hierarchy and groups, design and authoring, data sources, interfaces, and access levels. These concepts provide the essential knowledge needed to master the system and optimize performance monitoring and decision-making.

Understand how Visual KPI integrates with diverse data sources to deliver near real-time insights. Learn about supported data types, integration processes, and the advantages of using your existing data systems without migration or duplication.

Learn how Visual KPI integrates seamlessly with your existing data and security systems, offering flexible deployment options and robust real-time analytics.

Discover how Interfaces in Visual KPI connect and adapt data from various external sources. Learn about their components, purpose, and integration process to standardize and make real-time data available for KPI monitoring.

Learn how Visual KPI interfaces enable data integration from various external sources, including industrial historians, databases, REST APIs, and more.

Learn how to configure a JSON interface for integrating RESTful APIs with Visual KPI, including security settings, data paths, and parameterization for trend and historical data.

Explore the supported data sources for Visual KPI, including industrial historians, relational databases, web services, manually entered data, business applications, and IoT devices.

Learn how to use parameters in Visual KPI Designer to combine and calculate data from multiple data sources, automate dynamic attributes, and enhance KPI visualization.