SQL has dominated data querying for decades. Newer query languages offer more elegance, simplicity, and flexibility for modern use cases. For the last three decades, databases and Structured Query ...

In 2026, entry-level and transition roles often expect more than passive course completion. Employers want to see that you can write queries that answer business questions, work with browser logic, ...

Dynamic SQL lets you create a query string based off of user input. SQL Server allows you to create dynamic SQL statements. The statements use a SQL string varchar data type, then you execute the ...

With SQL Server 2016, it now makes sense to store JSON objects in your database (even though there’s no JSON datatype). Here’s how to query JSON properties to find the rows you want. It’s not unusual ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

More sectors of business utilize data for business intelligence than ever before, from report writing to application development. Microsoft SQL Server can handle big data needs for a wide set of ...

A common SQL habit is to use SELECT * on a query, because it’s tedious to list all the columns you need. Plus, sometimes those columns may change over time, so why not just do things the easy way? But ...

JSON has stolen some of XML's thunder with features such as human and machine readability, a lightweight, compact text structure and support for many software and hardware platforms. JSON (JavaScript ...