Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even ...

In relational databases, VARCHAR is one of the most commonly used string data types for storing variable-length character ... and usage details of VARCHAR among various databases, with SQL Server and ...

Welcome to the Data Warehouse and Analytics Project repository! 🚀 This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating ...

Microsoft.Data.SqlClient is a .NET data provider for Microsoft SQL Server and the Azure SQL family of databases. It grew from a union of the two System.Data.SqlClient components which live ...

Key notes Microsoft SQL Server is a database management system that is mainly used store and retrieve requested data across a network. It’s purpose more closely aligns with software developers and not ...

GTFS (General Transit Feed Specification) is a widely adopted open-source format for sharing transit schedules and route information. However, in Japan, the implementation of GTFS has been limited, ...

If you've worked in any data-centric role, you've probably experienced the effects of the proverbial 'mandate from on high.' Someone in the C-suite decides it's time to hop on the latest shift in the ...

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.