SSIS Azure Blob CSV File Connector Azure Blob CSV File Connector can be used to read CSV Files stored in Azure Blob Container. Using this you can easily integrate Azure Blob Storage CSV File data. It's supports latest security standards, and optimized for large data files. It also supports reading compressed files (e.g. GZip /Zip). You can use this connector to integrate Azure Blob CSV File data inside SSIS and SQL Server. Let's take a look at the steps below to see how exactly to accomplish that. Download  Help File  Buy  If you are new with SSIS and ZappySys SSIS PowerPack then check below links to get started. How to get started with SSIS and SSIS PowerPack. it covers how to install necessary tools to design/debug SSIS Packages, deploy to SSIS catalog and last Schedule SSIS Package to run using SQL Agent. It will also cover how to secure SSIS package and Parameterize values (e.g. Password, Hostname, etc). SSIS API Source Help File SSIS API Destination Help File

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How to read data from Azure Blob CSV File in SSIS using Azure Blob CSV File Source (Export data)

In this section we will learn how to configure and use Azure Blob CSV File Connector in the API Source to extract data from the Azure Blob CSV File using Azure Blob CSV File Source

1. Begin with opening Visual Studio and Create a New Project.

2. Select Integration Service Project and in new project window set the appropriate name and location for project. And click OK.

3. In the the new SSIS project screen you will find the following:

   1. SSIS ToolBox on left side bar
   2. Solution Explorer and Property Window on right bar
   3. Control flow, data flow, event Handlers, Package Explorer in tab windows
   4. Connection Manager Window in the bottom
   
   Note: If you don't see ZappySys SSIS PowerPack Task or Components in SSIS Toolbox, please refer to this help link.

4. Now, Drag and Drop SSIS Data Flow Task from SSIS Toolbox. Double click on the Data Flow Task to see Data Flow designer.
   

5. From the SSIS toolbox drag and drop Azure Blob CSV File Source on the dataflow designer surface
   

6. Double click on Azure Blob CSV File Source component to configure it.

7. Create and configure a connection for the Azure Blob storage account.

   

8. You can use select your desired single file by clicking [...] path button.

   myblob/dbo.tblNames.csv

   dbo.tblNames.csv

   
   
   
   ----------OR----------

   You can also read the multiple files stored in Azure Blob Storage using wildcard pattern supported e.g. dbo.tblNames*.csv.
   

   Note: If you want to operation with multiple files then use wild card pattern as below 
   (when you use wild card pattern in source path then system will treat target path as folder regardless you end with slash)
   
   myblob/dbo.tblNames.csv (will read only single .CSV file)
   myblob/dbo.tbl*.csv (all files starting with file name)
   myblob/*.csv (all files with .csv Extension and located under folder subfolder)
   

   myblob/dbo.tblNames*.csv

   
   
   
   ----------OR----------

   You can also read the zip and gzip compressed files also without extracting it in using Azure Blob CSV File Source.

   

9. Click on Preview button to see the data and click on OK.

   

10. That's it; we are done. In a few clicks we configured the to Read the Azure Blob CSV File data using ZappySys Azure Blob CSV File Connector

Load Azure Blob CSV File data in SQL Server using Upsert Destination (Insert or Update)

Once you read data from the desired source, now let's see how to Load Azure Blob CSV File data in SQL Server using Upsert Destination. Upsert Destination can Merge/Synchronize data from source to target for Microsoft SQL Server, PostgreSql and Redshift. It supports very fast Bulk Upsert (Update or Insert) operation along and Bulk delete.

1. From the SSIS toolbox drag and drop Upsert Destination on the dataflow designer surface
   

2. Connect our Source component to Upsert Destination

3. Double click on Upsert Destination component to configure it.

4. Select the desired Microsoft SQL Server/PostgreSql/Redshift Target Connection or click NEW to create new connection. Select Target Table or click NEW to create new table based on source columns.
   
   Configure SSIS Upsert Destination Connection - Loading data (REST / SOAP / JSON / XML /CSV) into SQL Server or other target using SSIS

5. Set Action to Upsert => (insert if not matching in target else update). Select Target Connection and Target Table. Check on Insert and Update. Click on Map All to Mappings all columns and check on Only Primary Key columns.
   

6. Click on OK to save Upsert Destination settings UI.

7. That's it; we are done. Run the SSIS Package and it will read the data from the Azure Blob CSV File and load the the data in the SQL Server/PostgreSql/Redshift.

Conclusion

In this article we discussed how to connect to Azure Blob CSV File in SSIS and integrate data without any coding. Click here to Download Azure Blob CSV File Connector for SSIS and try yourself see how easy it is. If you still have any question(s) then ask here or simply click on live chat icon below and ask our expert (see bottom-right corner of this page).

Download Azure Blob CSV File Connector for SSIS Documentation 

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Download Azure Blob CSV File Connector for SSIS Documentation 

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