You can use SQL to create, modify, search, and display database information. Dynamic SQL lets you create a query string based off of user input. SQL Server allows you to create dynamic SQL statements.

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 ...

The three features of adaptive query processing can make SQL Server 2017 significantly faster at processing your workload. Not only that, but they also provide significant improvements without needing ...

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.

Probably for a query that your application runs occasionally, in-memory processing of JSON data might still be an option. In general, though, querying through JSON-dedicated functions and letting 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. Recent ...

SQL Server 2019 builds on intelligent query processing features that were implemented in SQL Server 2017, and expands them to new areas of the database engine. Let's take a deeper dive into some ...

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 ...

Additionally, innovative representations for large static string dictionaries have been developed to enable extremely compact storage with microsecond query times, marking an important step ...