The structured query language is a powerful tool for connecting to many database systems that store data in tables organized into rows and columns. It's often used on the backend of business websites ...

DuckDB Labs recently released DuckLake 1.0, a data lake format that stores table metadata in a SQL database rather than ...

In the world of data analysis, advanced SQL techniques are essential for extracting valuable insights from complex datasets. This comprehensive guide by Chandoo delves into these powerful techniques, ...

Progress Software Corporation ( PRGS) Discusses High-Performance Multi-Database Connectivity and WinSQL Features May 7, 2026 1:00 PM EDT ...

Every day, businesses depend on data to operate. Customer orders, quotes for new business, conversations around products, campaigns for marketing—pretty much every business process today is based on ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

Take advantage of the open source library Serilog to log your ASP.NET Core application’s data to SQL Server or another database target. Logging is an essential feature for any application, as it is ...

As today’s database administrators (DBAs) manage the complexity of modern database environments, particularly containerized systems, they must lean into smart automation to transform database ...

Even after 50 years, Structured Query Language, or SQL, remains the native tongue for those who speak data. It’s had impressive staying power since it was first coined the Structured Query English ...