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.

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.

Joey on SQL Server A Deep Dive into SQL Server 2022's Query Performance Features, Part 1 An update to the cardinality estimator feature in SQL Server 2022 will be one of the biggest changes to the ...

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 ...

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 offers a new tool for performance tuning called Query Store. This holds metrics that let you quickly see when an execution plan change has negatively impacted the database.

I’ve created a script that monitors a table in a SQL Server database. I’m only interested in one column in the table: TimeStamp. If the maximum (newest) value in TimeStamp is more than 30 ...

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.

Joey on SQL Server Deep Dive into SQL Server 2022's Query Performance Features, Part 2: PSP Optimization Reduce workload times with this handy feature that can benefit every database pro.