Modifying system tables might seem like a shortcut—but it’s a high-risk move that can lead to data loss and unsupported environments. Thankfully, SQL Server provides safer, supported tools for every metadata task. Explore recommended alternatives that ensure both precision and protection.
Changing a column type in SQL sounds simple, but it’s a high-stakes operation that can break dependencies, corrupt data, and disrupt production. Learn how to use ALTER COLUMN safely, with practical steps, real examples, and enterprise-grade best practices.
Real data slows teams down—and risks breaking compliance. Synthetic data by contrast flips the script, fueling faster development with privacy built in. But not every generator delivers the precision, flexibility, and scale modern teams expect. Find out which synthetic data tools lead in 2025.
Scalable systems live or die by schema clarity. That’s why most engineers now use database diagram tools to map, manage, and document their structures. But not all tools are built for modern, fast-moving teams. Here’s a look at the top database diagram tools making a difference in 2025.
Learn how to implement SQL CHECK constraints in your database to enforce data integrity. This guide covers creating, modifying, and troubleshooting constraints, with insights on using dbForge Studio for SQL Server.
Picking between ADO.NET and Dapper isn't just a technical decision—it can shape your project's speed, scalability, and maintainability for years. Before you write your next line of code, find out which tool matches your goals.
Microservices love Dapper’s speed. Complex domains need NHibernate’s depth. But what about performance tuning, scaling, and real-world demands? Explore the pros, cons, and case studies that show exactly when—and why—to use each tool.