Thank you for reaching out about the error you're encountering when publishing your pipeline in Azure Data Factory (ADF). The error message "The document creation or update failed because of invalid reference 'ls_sql_server_my_experimentations'" indicates that ADF couldn't find the lin...
APPLIES TO: Azure Data Factory Azure Synapse AnalyticsTip Try out Data Factory in Microsoft Fabric, an all-in-one analytics solution for enterprises. Microsoft Fabric covers everything from data movement to data science, real-time analytics, business intelligence, and reporting. Learn how to start...
Azure Data Factory is a cloud-based ETL and data integration service that allows you to create data-driven workflows for orchestrating data movement and transform data at scale. In this episode of Data Exposed, we’ll check out some new features in Azure
and for packages that will be used in Azure through Azure Data Factory. When creating a new SSIS package that is to be used in Azure, you first should select an Azure-enabled Integration Services Project,
Manage your connections to data stores and external computes, source control configuration, and trigger settings in the Azure Data Factory management hub.
Today, we are excited to announce the capability to run Apache Airflow DAGs (Directed Acyclic Graph) within Azure Data Factory, adding a key Open-Source...
New connectors available in Azure Data Factory V2 We are excited to announce that Azure Data Factory newly enabled copying data from a number of data stores using Copy Activity in V2.Azure のブログ 0 Comments
We keep enriching the breadth of connectivity in Azure Data Factory to enable customers to ingest data from various data sources into Azure when building modern data warehouse solutions or data-driven SaaS applications. Today, we are excited to announce that Azure Data Factory newly enabled copying...
Applies to:SQL ServerSSIS Integration Runtime in Azure Data Factory To protect the data in an Integration Services package, you can set a protection level that helps protect just sensitive data or all the data in the package. Furthermore, you can encrypt this data with a password or a user...
Applies to: SQL Server SSIS Integration Runtime in Azure Data FactoryTo protect the data in an Integration Services package, you can set a protection level that helps protect just sensitive data or all the data in the package. Furthermore, you can encrypt this data with a password or a use...