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 ...

Ok, I'm trying to write a query in a stored procedure in SQL Server 2000. Because some of the parts of the query vary based on certain situations I construct a string that contains the query and ...

Not so with DBAs! In SQL Server 2017, when the query optimizer encounters code with a multi-statement TVF, the query optimizer will pause optimization, execute the TVF subtree to get a very accurate ...

Spark SQL, part of Apache Spark, is used for structured data processing by running SQL queries on Spark data. Srini Penchikala discusses Spark SQL module & how it simplifies data analytics using SQL.

Efficient query processing is underpinned by the design and implementation of novel data structures and algorithms that address the increasing demands of modern data-intensive applications.

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 JSON now the default format for moving data between clients and servers, SQL Server adds JSON support to make it easier to get your data out of the database and down to the client.

Microsoft announced the general availability of SQL Server 2019 and SQL Server Big Data Clusters at its Ignite conference on Monday. SQL Server 2019 builds on intelligent query processing features ...

Google Cloud has updated its fully managed distributed SQL database service Spanner to add graph processing capabilities, dubbed Spanner Graph. The update is expected to help developers build ...