Try SQL Server!.Get SQL Tools.SQL Server TechnologiesThe Database Engine is the core service for storing, processing, and securing data. The Database Engine provides controlled access and rapid transaction processing to meet the requirements of the most demanding data consuming applications within your enterprise.
The Database Engine also provides rich support for sustaining high availability.Microsoft Machine Learning Services supports integration of machine learning, using the popular R and Python languages, into enterprise workflows.Machine Learning Services (In-Database) integrates R and Python with SQL Server, making it easy to build, retrain, and score models by calling stored procedures. Microsoft Machine Learning Server provides enterprise-scale support for R and Python, without requiring SQL Server.Integration Services is a platform for building high performance data integration solutions, including packages that provide extract, transform, and load (ETL) processing for data warehousing.Analysis Services is an analytical data platform and toolset for personal, team, and corporate business intelligence. Servers and client designers support traditional OLAP solutions, new tabular modeling solutions, as well as self-service analytics and collaboration using Power Pivot, Excel, and a SharePoint Server environment. Analysis Services also includes Data Mining so that you can uncover the patterns and relationships hidden inside large volumes of data.Reporting Services delivers enterprise, Web-enabled reporting functionality.
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You can create reports that draw content from a variety of data sources, publish reports in various formats, and centrally manage security and subscriptions.Replication is a set of technologies for copying and distributing data and database objects from one database to another, and then synchronizing between databases to maintain consistency. By using replication, you can distribute data to different locations and to remote or mobile users by means of local and wide area networks, dial-up connections, wireless connections, and the Internet.SQL Server Data Quality Services (DQS) provides you with a knowledge-driven data cleansing solution. DQS enables you to build a knowledge base, and then use that knowledge base to perform data correction and deduplication on your data, using both computer-assisted and interactive means.
Tutorials for SQL Server.; 2 minutes to read; Contributors. In this article. APPLIES TO: SQL Server Azure SQL Database Azure SQL Data Warehouse Parallel Data Warehouse SQL Server provides tutorials to help you learn new technologies and features. Jul 19, 2017 - Microsoft SharePoint Server 2016 Reviewer's Guide, PDF. Microsoft SQL Server 2012 Tutorials: Analysis Services – Data Mining Step-by-Step.
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You can use cloud-based reference data services, and you can build a data management solution that integrates DQS with SQL Server Integration Services and Master Data Services.Master Data Services is the SQL Server solution for master data management. A solution built on Master Data Services helps ensure that reporting and analysis is based on the right information. Using Master Data Services, you create a central repository for your master data and maintain an auditable, securable record of that data as it changes over time. Migrate and move data.Update your version of SQL Server. links and information for all supported versionsSamples.SQL Server 2014, 2012, 2008, 2005 previous versionsWe accumulate and retain documentation for very old versions of Microsoft SQL Server in sets of archived webpages. The archived webpages are not processed by search engines, such as Bing.com and Google.com. Yet you can see these archives at our Docs previous-versions/sql/ address:.These archives include the documentation for at least the following older versions:.
SQL Server 2012. SQL Server 2008 R2. SQL Server 2008. SQL Server 2005is still available on our main Docs address.is available on our main Docs address.
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Then use the versioning dropdown near the top of the page, to select another version of interest.For more information about the documentation for previous versions of SQL Server, see. Get Help.Contribute SQL documentationDid you know that you could edit the content yourself? If you do so, not only will our documentation improve, but you'll also be credited as a contributor to the page.Feedback.