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Microsoft SQL Server (Structured Query Language) is a proprietary relational database management system developed by Microsoft.As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network (including the Internet).
The "Express" branding has been used since the release of SQL Server 2005. Microsoft SQL Server Express LocalDB is a version of Microsoft SQL Server Express, on-demand managed instance of the SQL Server engine. It is targeted to developers, and has the following restrictions: up to 10 GB database size and only local connections (network ...
SQL Server 2008 (formerly codenamed "Katmai") [14] [15] was released on August 6, 2008, announced to the SQL Server Special Interest Group at the ESRI 2008 User's Conference on August 6, 2008, by Ed Katibah (Spatial Program Manager at Microsoft), and aims to make data management self-tuning, self organizing, and self maintaining with the ...
Microsoft SQL Server Management Studio (SSMS) is a software application developed by Microsoft that is used for configuring, managing, and administering all components within Microsoft SQL Server. First launched with Microsoft SQL Server 2005, it is the successor to the Enterprise Manager in SQL 2000 or before. The tool includes both script ...
[citation needed] Combined with the free Linux operating system, the availability of relatively powerful low-cost PC hardware, and the development of World Wide Web standards and technologies, mSQL was an important factor in the early development of interactive, dynamic web applications, [5] particularly in the period 1994–1997, after which ...
Microsoft SQL Server Integration Services (SSIS) is a component of the Microsoft SQL Server database software that can be used to perform a broad range of data migration tasks. SSIS is a platform for data integration and workflow applications. It features a data warehousing tool used for data extraction, transformation, and loading (ETL).
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