SQL remains the backbone of enterprise data access. Despite the rise of dashboards, semantic layers, and AI-driven analytics, most critical business data is sti ...

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 ...

SQL databases have constraints on data types and consistency. NoSQL does away with them for the sake of speed, flexibility, and scale. One of the most fundamental choices to make when developing an ...

For enterprises deploying AI applications with similar read-heavy workloads and unpredictable traffic spikes, OpenAI's ...

SQL stands for ‘Structured Query Language’. This is basically a declarative language used for storing and retrieving data in a database. If you’ve heard of SQL, it’s probably in the context of MySQL, ...

Database connectivity gives desktop and Web applications much of their value. .NET developers have products and framework objects that can tie a front-end application to SQL Server, MySQL, Sybase, ...

One way that organizations are storing data in the cloud is by moving their databases to the cloud. What once meant building an entire physical server, patching it, installing software like Microsoft ...

In SQL Server, the database can be stored in different files and filegroups. If your database is small (100 MB or less), you do not need to worry too much about files and filegroups. But if you have a ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...