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, you can store JSON objects in your rows. Here’s how to work with JSON objects, including how to update them once you’ve found them.

For more than 40 years, SQL has provided a standard way to query structured data. However, much of the data being generated and stored today exists in semi-structured formats, like JSON, which doesn’t ...

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.

Couchbase announced a new language called N1QL that allows SQL queries over JSON data stored in its NoSQL document-oriented database.

Once PunchTab started loading its Mongo-based JSON data into BitYota (using Amazon S3 as a conduit), the company developed various Web-based dashboards that allowed their customers to query their data ...