Sql Server Manual Pdf
SQL Server is a central part of the Microsoft data platform. SQL Server is an industry leader in operational database management systems (ODBMS). This documentation helps you install, configure, and use SQL Server on both Windows and Linux. The content includes end-to-end examples, code samples, and videos. For SQL Server language topics, see Language Reference.
Transact-SQL User’s Guide. Build intelligent, mission-critical applications using a scalable, hybrid data platform for demanding workloads. Get started with a 180-day free trial of SQL Server 2017 on Windows. Take advantage of the built-in high availability, security, and intelligence of Azure SQL Database, and use the. Aug 12, 2018 SQL Server is an industry leader in operational database management systems (ODBMS). This documentation helps you install, configure, and use SQL Server on both Windows and Linux. The content includes end-to-end examples, code samples, and videos. For SQL Server language topics, see Language Reference. This manual documents EMS SQL Management Studio for SQL Server No parts of this work may be reproduced in any form or by any means - graphic, electronic, or mechanical, including photocopying, recording, taping, or information storage and retrieval systems - without the written permission of the.
SQL Server is a central part of the Microsoft data platform. SQL Server is an industry leader in operational database management systems (ODBMS). This documentation helps you install, configure, and use SQL Server on Windows. The content includes end-to-end examples, code samples, and videos. For SQL Server language topics, see Language Reference.
SQL Server 2014, and older versions including SQL Server 2005, have documentation available here.
This manual documents EMS SQL Management Studio for SQL Server No parts of this work may be reproduced in any form or by any means - graphic, electronic, or mechanical, including photocopying, recording, taping, or information storage and retrieval systems - without the written permission of the. Microsoft SQL Server Reference Manual is intended for operational managers and business analysts who want to query the information that is collected by Genesys Info Mart in order to make informed business decisions. It is intended also for IT reporting specialists, business.
What's new | Release notes |
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What's New in SQL Server 2019 | SQL Server 2019 Release Notes |
What's New in SQL Server 2017 | SQL Server 2017 Release Notes |
What's New in SQL Server 2016 | SQL Server 2016 Release Notes |
The SQL Server 2014 documentation is available here.
What's new | Release notes |
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What's New in SQL Server 2019 | SQL Server 2019 Release Notes |
What's new | Release notes |
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What's New in SQL Server 2017 | SQL Server 2017 Release Notes |
Note
SQL Server 2019 preview is now available. For more information, see What's New in SQL Server 2019.
What's new | Release notes |
---|---|
What's New in SQL Server 2016 | SQL Server 2016 Release Notes |
Try SQL Server 2016!
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SQL Server Technologies
Database Engine The 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. |
Machine Learning Services Machine Learning Services gives the ability to run Python and R scripts with relational data. You can use open source and Microsoft packages for predictive analytics and machine learning. The scripts are executed in-database without moving data outside SQL Server or over the network. |
Integration Services 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 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 Reporting Services delivers enterprise, Web-enabled reporting functionality. 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 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. |
Data Quality Services 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. 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 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. |
Other members of the SQL Server family
Name | Https URL root |
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Azure SQL Database single database | https://docs.microsoft.com/azure/sql-database/ |
Azure SQL Database managed instance | https://docs.microsoft.com/azure/sql-database/sql-database-managed-instance |
SQL Server on a virtual machine (VM) | https://docs.microsoft.com/azure/virtual-machines/windows/sql/ |
SQL Data Warehouse | https://docs.microsoft.com/azure/sql-data-warehouse/ |
Analytics Platform System (APS) | https://docs.microsoft.com/sql/analytics-platform-system/ Note: APS hosts SQL Server Parallel Data Warehouse (PDW), which is the software that runs the massively parallel processing (MPP) data warehouse. |
SQL Server on Linux | https://docs.microsoft.com/sql/linux/ |
Cousins of SQL Server
Name | Https URL root |
---|---|
PostgreSQL database | https://docs.microsoft.com/azure/postgresql/ |
MySQL database | https://docs.microsoft.com/azure/mysql/ |
NoSQL: Azure Cosmos DB | https://docs.microsoft.com/azure/cosmos-db/ |
Migrate and move data, in version 2016
Migrate and move data
Update your version of SQL Server
- SQL Server Update Center links and information for all supported versions
Samples
SQL Server 2014, 2012, 2008, 2005 previous versions
We 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 2005
SQL Server 2014 documentation is still available on our main Docs address.
SQL Server 2019 documentation is available on our main Docs address. 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 Previous versions of SQL Server documentation.
Versioning control for SQL documentation
The versioning control on this Docs webpage is above the table of contents. For information about how you can use the versioning control and exactly what it does, see:
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Contribute SQL documentation
Did 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.
-->This topic gives the basics about how to find and use the Microsoft Transact-SQL (T-SQL) reference topics. T-SQL is central to using Microsoft SQL products and services. All tools and applications that communicate with a SQL database do so by sending T-SQL commands.
Tools that use T-SQL
Some of the Microsoft tools that issue T-SQL commands are:
Locate the Transact-SQL reference topics
To find T-SQL topics, use search at the top right of this page, or use the table of contents on the left side of the page. You can also type a T-SQL key word in the Management Studio Query Editor window, and press F1.
Find system views
To find the system tables, views, functions, and procedures, see these links which are in the Using relational databases section of the SQL documentation.
'Applies to' references
The T-SQL reference topics encompass multiple versions of SQL Server, starting with 2008, as well as the other Azure SQL services. Near the top of each topic is a section that indicates which products and services support subject of the topic.
For example, this topic applies to all versions, and has the following label.
Another example, the following label indicates a topic that applies only to Azure SQL Data Warehouse and Parallel Data Warehouse.
In some cases, the topic is used by a product or service, but all of the arguments are not supported. In this case, additional Applies to sections are inserted into the appropriate argument descriptions in the body of the topic.
Get help from the MSDN forum
For online help, see the MSDN Transact-SQL Forum.
See other language references
The SQL docs include these other language references:
Sql Server Manual Pdf Free
Next steps
Now that you understand how to find the T-SQL reference topics, you are ready to:
Sql Server 2014 Manual Pdf
- Work through a short tutorial about how to write T-SQL, see Tutorial: Writing Transact-SQL Statements.
- View the Transact-SQL Syntax Conventions (Transact-SQL).