In this ten-part series, I will cover all aspects of planning, executing, and supporting a successful migration to Dataverse. If you have feedback or suggestions, feel free to reach out using the contact form or chat!
This article breaks down the data structure of the Dataverse and covers what does (and doesn't) belong there.
This article walks through the process of mapping and diagramming your data so you and your stakeholders have a clear understanding of the migration.
This article focuses on laying the foundation for our migration by creating the objects necessary as well as the tables and relationships outlined in the planning phase.
Relationships are defined in a table record's metadata as an explicit reference to another record. These relationships are automatically created when a Lookup column is created, but can also be set up manually.
Part Five - Transforming the Data
This article explains how to transform source data types into data types and formats that Dataverse expects during the import process.
This article is a continuation of part five that dives into cleaning up the data import and merging data to stage it for import.
Part Seven - Testing and Validation
This article talks about how to validate and test data by comparing source and destination data sources at a high level.
This article breaks down the complexity of Dataverse security and reviews best practices for securing your data.
This article outlines and recommends training for developers, end users, and citizen developers.
This article describes the final steps necessary to complete a successful migration.
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