Dino Esposito explains JSON-to-rowset native support in SQL Server 2016 and provides a realistic perspective of data query when you have JSON data stored in the database.

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.

This SQL query builder solves both issues efficiently by utilizing built-in database functions to aggregate rows to a JSON string. It compiles SQL queries that map tables to JSON arrays and rows to ...

In SQL Server, you can organize your data as one or many scalar or JSON columns and combine them with Spatial or XML columns if needed. In the same table, you can combine standard relational columns ...

JSON_ARRAY constructs JSON array text from zero or more expressions. The JSON_ARRAY function uses the rules described in this FOR JSON article to convert SQL data types to JSON types in the JSON array ...

SQL Server 2016 is expected to offer native support for working with JSON. The first iteration of this support will be released as part of SQL Server 2016’s CTP 2.

Transact SQL, or T-SQL, provides you with the language to create the dynamic code. It retrieves data from a database and adds data into your server's tables.