I m new to Azure Data Factory. How Can I create a C# object in Azure data factory and I m not sure how we can create an SQL connection in ADF? Somebody please guide me on this?
Thanks #Peter Bons for the valuable suggestions on this.
Follow the below detailed process to achieve your requirement.
Create an Azure data factory from the Portal.
Create SQL Server & Azure Storage linked services with a self-hosted integration runtime.
From the Azure Data Factory Studio launch the Data Factory UI in new tab.
Select the SQL Server from the new dataset in pipeline.
Create New linked service (SQL Server) and test the connection, it will show you Connection Successful once we given all the required values.
Linked Service Screenshot:
References:
Copy data from a SQL Server database to Azure Blob storage by using Azure Data Factory.
Create an Azure SQL Database linked service using UI.
Related
How to store data from Azure Analysis services into Azure Datalake using Azure Data Factory?
I have two tables in Azure Analysis service and I need to copy and store those data into Azure Datalake using Azure Data Factory.
Could you please help me or share the reference url.
There is no direct connector for Azure analysis services in ADF but there are some ways via which you can copy the data :
1 such way is to create a linked server across a on prem/IaaS or SQL MI database instance and analysis services and get the data from the SQL instance through ADF.
Can we copy data from Azure Analysis Services using Azure Data Factory?
The above links explains it in details w.r.t the setup.
https://datasharkx.wordpress.com/2021/03/16/copy-data-from-ssas-aas-through-azure-data-factory/
I am trying to test out Azure Purview and connect it to an Azure SQL Server. Since the SQL server is hosted in the cloud I want to use the default AutoResolve Integrated Runtime to get connected but there is not one setup or an option to setup a new one. Has anyone else using Purview been able to setup (or needed to setup) an AutoResolve IR?
To connect to Azure SQL DB/MI you can directly go to the Azure Purview portal and register new data sources and select Azure SQL DB/MI.
In this article - Manage data sources in Azure Purview (Preview), you learn how to register new data sources, manage collections of data sources, and view sources in Azure Purview (Preview).
Only to connect on-premise SQL server you need to Set up a
self-hosted integration runtime to scan the data source.
If the data source is located on Azure, you don't need any integration runtime to scan the data source.
Reference: Register and scan an Azure SQL Database.
CHEEKATLAPRADEEP-MSFT is absolutely correct, to go a step further, since you know what an auto resolve integration runtime is, you probably are utilizing Azure Data Factory so in addition to registering your SQL Server, you can also link your Azure Data Factory for data lineage purposes. Based on the pipelines that are executed, it will autonomously create the data lineage.
Navigation to Link Data Factory
Data lineage created by linking Data Factory
Keep in mind, you will have to execute pipelines after linkage for it to pick up the data lineage. Also, for sources or destinations not supported yet, it will not get the data lineage.
I cannot find any connector related to this and wanted to know if this is possible.
By copying data from Azure analysis service , do you mean to pull the aggregated data from the OLAP system into a target store?
If yes, then there is no direct connector but you can pull the data based on a linked server concept via ADF v2.
We need to create a linked server between an IaaS/On Prem/SQL MI data instance and AAS Server :
In ADF, create a linked service connecting to the database instance and query the Azure analysis service through database instance via OpenQuery :
select * from openquery(AZUREAS,
'evaluate SUMMARIZECOLUMNS(
''Geography''[City],
"My Measure", [My Measure]
)')
This is how you would be able to copy the AAS data from ADF into a destination :)
Blog post for the same:
https://datasharkx.wordpress.com/2021/03/16/copy-data-from-ssas-aas-through-azure-data-factory/
You also can use Azure Analysis Services REST API.
I'm doing some tests with Azure Data Lake Analytics and I can’t add a new SQL Server database as a Data Source. When I click on "Add data source", the only two available options are: "Azure Data Lake Storage Gen1" and "Azure Storage".
What I want is to add one SQL Server database so that I can run U-SQL queries against it.
Our SQL Server firewall is correctly configured to allow access to Azure Services, but I am not allowed to add it as a data source.
How can this be done? Is it a matter of other configuration issues?
Any help would be greatly appreciated.
Per my research ,there is no other configuration issues for sql server data source in DLA. Based on this official doc, DLA only supports two data sources:Data Lake Store and Azure Storage.
As workaround , I suggest you using Azure Data Factory to transfer data from sql server database to azure storage so that you could run U-SQL script against data source.
Any concern,please let me know.
We use Azure Table storage in our project and we want to migrate to SQL Azure. Is there any simpler way to migrate ?
The simple way to move data from Azure Table Storage to SQL Azure is using Azure Data Factory. You can refer to the tutorials Build your first Azure data factory using Azure Portal/Data Factory Editor &
Move data to and from Azure Table using Azure Data Factory to know how to do it.