This .NET Database Update Strategy Was 50x Faster

Summary

The transcript discusses various approaches to performing bulk updates in a SQL database, specifically focusing on optimizing performance when updating multiple records with unique values. The speaker explores different methods using technologies like Dapper, EF Core, and custom SQL statements, comparing their efficiency across a test scenario with 10,000 database records. The key takeaway is understanding that batching SQL statements, using temporary tables, and minimizing round trips to the database can significantly improve update performance compared to naive, record-by-record approaches.