1. Introduction to Polymorphic Lookups Polymorphic lookups (also called “party list” fields) in Dataverse allow a single lookup field to reference multiple entity types. This powerful feature enables flexible relationship….
1. Introduction to Dataverse Storage Microsoft Dataverse (formerly Common Data Service) is the cloud-based data storage layer for Dynamics 365 and Power Platform. It provides a structured, secure, and scalable….
User Acceptance Testing (UAT) is a critical phase in the software development lifecycle (SDLC), where the end users validate whether a system meets their business needs and requirements. For Model-driven….
In today’s enterprise environment, companies often run multiple systems for customer relationship management (CRM), sales, and marketing. Salesforce and Microsoft Dynamics 365 (D365) are two of the most widely used….
Microsoft Dynamics 365 is a powerful platform for building business applications, and one of its most extensible features is the ability to write custom plug-ins. Plug-ins are pieces of .NET….
In today’s interconnected world, systems rarely operate in isolation. Modern applications are expected to communicate seamlessly across services and platforms. Microsoft Dataverse addresses this challenge by supporting Business Events—a powerful….
Working with Alternate Keys in Microsoft Dataverse In data modeling, ensuring data integrity and enabling efficient data integration are critical components of building reliable applications. Microsoft Dataverse provides a powerful….
Multi-Entity Business Process Flows in Microsoft Dataverse Business Process Flows (BPFs) in Microsoft Dataverse are a powerful feature that guide users through defined stages and steps to ensure data consistency,….
In the world of data modeling and application development, understanding how data entities relate to one another is critical. Entity Relationship Diagrams (ERDs) serve as a visual blueprint that maps….
Extending Microsoft Dataverse with external data sources is a powerful way to integrate disparate systems and services into a unified data platform. Here’s a breakdown of how to approach it,….
