Description
The PI Integrator for Business Analytics is a powerful tool to integrate Operational Technology (OT) and Information Technology (IT) data by presenting the OT data stored in the PI System data to Business Intelligence tools, where it is merged with IT data to provide insight on behaviors and patterns, identifying dependencies and correlations of various factors within your operations
The PI Integrator for Business Analytics leverages the capabilities of the PI Asset Framework (PI AF) model to present the PI System data through PI Views, which can then be accessed using an ODBC connection. It can also directly send data into various data warehouse platforms. The need of programming or SQL expertise is eliminated as the management of the complete data lifecycle, including access, updates, and data provenance is web-configured.
The goal of this lab is to learn in-depth the functionalities and the administrative options of the PI Integrator for Business Analytics. It will enable new users to understand the system architecture, publish asset views, event views and streaming views, as well as manage access to the web-based user interface and how to set up new connections to different publication targets. We will discuss how to be critical in the scope of data to publish instead of relying on a big data dump.
(Who should attend? Power User and Intermediate)
The PI Integrator for Business Analytics leverages the capabilities of the PI Asset Framework (PI AF) model to present the PI System data through PI Views, which can then be accessed using an ODBC connection. It can also directly send data into various data warehouse platforms. The need of programming or SQL expertise is eliminated as the management of the complete data lifecycle, including access, updates, and data provenance is web-configured.
The goal of this lab is to learn in-depth the functionalities and the administrative options of the PI Integrator for Business Analytics. It will enable new users to understand the system architecture, publish asset views, event views and streaming views, as well as manage access to the web-based user interface and how to set up new connections to different publication targets. We will discuss how to be critical in the scope of data to publish instead of relying on a big data dump.
(Who should attend? Power User and Intermediate)