JSON Support in SQL Server 2016. In this article, we will discuss the built-in support for importing, exporting, parsing, and querying JSON documents or fragments in SQL Server 2016.
SQL Server 2016 provides the built-in support for importing, exporting, parsing, and querying JSON documents or fragments. In this article, we will discuss this feature in more details!
Some NoSQL engines, including Azure DocumentDB, use JSON as the storage format. DocumentDB uses Azure Blob storage to store schema-less documents but provides a rich SQL query dialect that allows you to conduct SQL queries over the data contained in the documents.
Azure Search also utilizes JSON. Azure Search is a fully managed search solution that allows developers to embed sophisticated search experiences into Web and mobile applications without having to worry about the complexities of full-text search and without having to deploy, maintain or manage any infrastructure.
The combination of SQL Server’s new support for JSON with these other Microsoft tools enables many scenarios for moving data back and forth between relational and schema-less storage and the applications that access such data.
Note, SQL Server does not provide a built-in JSON data type. JSON text is typically stored in varchar or nvarchar columns and is indexed as plain text.
SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.
This is part 3 of “MS SQL Server- Zero to Hero” and in this article, we will be discussing about the SCHEMAS in SQL SERVER. Before getting into this article, please consider to visit previous articles in this series from below.
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