This blog post is part of a series that explores the transition from relational databases like Microsoft SQL Server to document databases such as Couchbase Server, focusing on data modeling, data types, and the migration process. It highlights the differences between SQL Server and Couchbase in terms of data types, with SQL Server offering a variety of specific types while Couchbase relies on JSON's flexible structure. The post provides guidance on planning and executing data migrations, emphasizing the need for collaboration among different team roles such as DBAs and DevOps. It also discusses the use of tools like Dapper and Entity Framework in migration processes and explains that while Couchbase lacks some SQL Server features, it offers a scalable, fast alternative with ongoing development. The article concludes by acknowledging the trade-offs between relational and non-relational databases and hints at further discussions on application coding changes when using Couchbase.