I am followin this tutorial to move data from SQL to Azure Synapse https://learn.microsoft.com/en-us/azure/data-factory/load-azure-sql-data-warehouse?tabs=data-factory
However, once I get to step 5c I cannot select a a Database name, Do I have to create an Azure Synapse Database first to copy data over there? I though that is what this tutorial will do?
I have a SQL database and I want to move the data into Azure Synapse.
Thanks
Yes, in Azure data factory your source and sink needs to be already present w.r.t database scenarios.
So it is expected that you already have an Azure SQL database and Azure SQL datawarehouse in place before proceeding with copy activity
Related
A client of mine needs to join tables from his Azure SQL financial data mart with external tables built upon a Data Lakehouse (Parquet files) in Azure Synapse Analytics.
I was wondering if it's possible to create a database link within a Azure SQL database accessing a Azure Synapse Analytics Serverless (on-demand) SQL Pool.
Yes, it’s possible open the Integrate hub, and select and add a link connection.
Select test connection and make sure to check whether SQL firewall rules are properly configured or not.
Reference:
Get started with Azure Synapse Link for Azure SQL Database (Preview) - Azure Synapse Analytics | Microsoft Docs
I am trying to transform data from Salesforce before loading it to dedicated SQL pool.
When I try to create a dataset from Synapse's Dataflow, I am not able to choose Salesforce a Data store:
Can anyone suggest how to transform data from Salesforce or any other Datasource that is not supported by Dataflow?
As per the Official Documentation, Currently Dataflows does not support Salesforce data as source or sink.
If you want, you can raise the feature request in the Synapse portal.
As an alternate, you can use Copy activity in the Azure Data factory to copy data from Salesforce to Dedicated SQL pool and then you can transform it using Dataflows in synapse from Dedicated SQL DB to Dedicated SQL DB.
Follow the below steps to achieve your requirement:
First create a Data Factory Workspace.
Select the Author hub and a create a pipeline. Now, drag the copy activity from the workspace and select the source. You can see that Salesforce is supported when you select new source dataset. Select it and create a linked service for that.
Now, select the sink dataset and click on Azure Synapse analytics.
Create a linked service for the Dedicated SQL database and select it.
Then, you can select the table in the Dedicated SQL and copy your data by running this.
After this copy, go to Synapse workspace and click on the Source of the Dataflow.
Select the Azure Synapse Analytics in source and click on continue.
Now, click on New to create linked service for the SQL DB. Give the subscription and server name and authenticate with your database.
After the creation of linked service, select it and give your table which is result of the copy in the DB.
Now, go to sink and select Azure Synapse Analytics and create another linked service for it as same above and select the resultant table in DB which you want after transform.
By following the above process, we can achieve the transformation from Salesforce data to Dedicated SQL DB.
Can anyone suggest how to transform data from Salesforce or any other Datasource that is not supported by Dataflow?
You can try this approach for the data stores which are not supported by the Data flows and please refer this to check various data stores supported by Copy activity before doing this process for the other data stores.
I'm trying to setup a Demo Data Warehouse in Azure Synapse. I would like to extract data from a local MySQL database, transform and aggregate some data and store it in fact-/dimension tables in Azure Synapse Analytics.
Currently I have an instance of Azure SQL Data Warehouse and Data Factory. I created a connection to my MySQL database in Data Factory and my thought was, i can use this connector as input for a new Data Flow, which transforms the dataset and stores it to my destination dataset, which is linked to my Azure Synapse Data Warehouse.
The Problem is, Data Factory just support some Azure Services like Azure Data Lake or Azure SQL Database as Source for a new Data Flow.
What would be the best practice for solving this Problem? Create an Instance of Azure SQL Database, copy the Data from the local MySQL Database to the Azure SQL Database and use it then as Source for a new Data Flow?
Best practice here is to use the Copy Activity in an ADF pipeline to land the data from MySQL into Parquet in Blob or ADLS G2, then transform the data using Data Flows.
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.