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31. mars, 23 - 2. apr., 23
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Applies to:
SQL Server
SSIS Integration Runtime in Azure Data Factory
SQL Server Integration Services is a platform for building enterprise-level data integration and data transformations solutions. Use Integration Services to solve complex business problems. For example:
Integration Services can extract and transform data from a wide variety of sources such as XML data files, flat files, and relational data sources, and then load the data into one or more destinations.
Integration Services includes:
You can use the graphical Integration Services tools to create solutions without writing a single line of code. You can also program the extensive Integration Services object model to create packages programmatically and code custom tasks and other package objects.
You can start by installing SQL Server Integration Services, which is part of SQL Server setup.
For installation instructions and guidance, see Install Integration Services.
Hendelser
31. mars, 23 - 2. apr., 23
Den største SQL-, Fabric- og Power BI-læringshendelsen. 31. mars til 2. april. Bruk koden FABINSIDER til å spare USD 400.
Registrer deg i dagOpplæring
Modul
Execute existing SSIS packages in Azure Data Factory - Training
Execute existing SSIS packages in Azure Data Factory or Azure Synapse Pipeline
Sertifisering
Microsoft Certified: Azure Data Engineer Associate - Certifications
Demonstrere forståelse av vanlige datateknikkoppgaver for å implementere og administrere arbeidsbelastninger for datateknikk på Microsoft Azure ved hjelp av en rekke Azure-tjenester.
Dokumentasjon
Install SQL Server Integration Services - SQL Server Integration Services (SSIS)
Learn how to install Microsoft SQL Server Integration Services (SSIS) and how to get other downloads for SSIS.
Development and Management Tools - SQL Server Integration Services (SSIS)
Integration Services (SSIS) Development and Management Tools
Shows you how to create a SQL Server Integration Services (SSIS) package to move data from a wide variety of data sources to SQL Server or to Azure SQL Database.