The most innovative organizations are increasingly using their own enterprise data with Power Platform, integrating Power Platform solutions to their data estate vs. operating Power Platform in isolation. This session will cover five key patterns for connecting Power Platform to services across the cloud:

* Point-to-Point: Direct connections between services;


* Data Consolidation: Bringing data together in one place;


* Master Data Node: Using a central source for all data;


* Data Landing Zone: A staging area for data before use;


* Data Distribution: Spreading data out to where it’s needed.

We’ll discuss each method’s advantages, disadvantages, and typical technologies used, focusing on Dataverse and Microsoft’s data integration and storage tools.

This session is designed for CIOs and other IT decision makers, enterprise architects, and engineers seeking to (a) understand how to scale Power Platform across their data estate, and (b) choose, combine, and architect with best patterns of integration to meet their needs. It is presented by the authors of the Microsoft white paper, “Power Platform in a Modern Data Platform Architecture”, which covers these patterns in depth.

Join us to learn how to scale Power Platform and leverage its data in AI, analytical, search, and other data distribution or collection scenarios.

This session is based on the Microsoft white paper "Power Platform in a Modern Data Platform Architecture", and will use the latest research and best practices on this topic.