In our previous blog, we saw you how to read/write Azure Table Storage data. Now in this blog, we will see How to Read/Write Azure Queue Storage data in SSIS. To illustrate, we will use ZappySys SSIS PowerPack, which includes several tasks to import/export data from multiples sources to multiple destinations like flat files, Azure, AWS, databases, Office files and more. They are Coding free, drag and drop high-performance suite of Custom SSIS Components and SSIS Tasks. If you like perform other operations on Azure Blob Storage Files (e.g. Download, Upload, Create, Delete) then check these articles.

In nutshell, this post will focus on How to Read/Write Azure Queue Storage data in SSIS using the following Source/Destination.

Component Mentioned in this article

	Azure Queue Storage Source
	Azure Queue Storage Destination

Prerequisite

1. First, you will need to have SSIS installed
2. Secondly, make sure to have SSDT
3. Download and install Microsoft Azure Storage Emulator
4. Download and install Microsoft Azure Storage Explorer
5. Finally, do not forget to install ZappySys SSIS PowerPack

NOTE: If you want to use Live account (Azure Storage) then you can skip Step #3

What are Azure Queues?

Azure Queue storage is a service for storing large numbers of messages. You access messages from anywhere in the world via authenticated calls using HTTP or HTTPS. A queue message can be up to 64 KB in size. A queue may contain millions of messages, up to the total capacity limit of a storage account.

Common uses

Microsoft Azure Queue Concept

Common uses of Queue storage include:

• Creating a backlog of work to process asynchronously
• Passing messages from an Azure web role to an Azure worker role
• The Queue service contains the following components:

Getting Started

In order to start, we will show several examples. Zappysys includes an SSIS Azure Queue Storage Source that will help you in reading data of Queue and SSIS Azure Queue Storage Destination that will help you to write data in Queue. Here we are showing you is, how to Read/Write Azure Queue Storage data in SSIS.

You can connect to your Azure Storage Account by entering your storage account credentials. Here I am showing an example of the use of the local Azure Storage Emulator.

Setup Azure Storage client tools and Create Queue

1. Once you have downloaded and installed storage emulator You can launch Microsoft Azure Storage Emulator from its Physical location or from the desktop or start menu shortcut.
   

   Azure Storage Emulator Physical Location

2. If you can see the below-attached Command Prompt screen after Emulator started. Then you can proceed to start Microsoft Azure Storage Explorer as the Azure Storage Emulator is started successfully.
   

   Command Prompt Screen after Microsoft Azure Storage Emulator Started

3. Now, you have to download and install Microsoft Azure Storage Explorer and then you can launch Microsoft Azure Storage Explorer from its Physical location or from the desktop or start menu shortcut.
   

   Microsoft Azure Storage Explorer Location.

4. If you don’t have Azure Storage account then it’s easy to get FREE Trial Azure Storage account or use your MSDN to get credit each month which will be more than enough for real testing. If you prefer to avoid all this hassle then Microsoft provides another great way to test Azure Storage functionality is totally offline mode on your local machine. You can just download Azure Storage Emulator and start testing.
5. Click here to learn more about how to configure Azure Storage Emulator for Testing and Development purposes. In order to connect to Azure Storage Service from SSIS, you will need Storage AccountName and an AccessKey. Ask your SysAdmin or responsible person to provide that information to you. Here are sample Account Name and Access Key(this is just example key which may differ in your case)
   

   Account Name: mystorageaccount 
   Access Key: Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==

6. For Creating a Queue, First of all, you need to go to Microsoft Storage Explorer Window. Then you can go through like this way (Storage Accounts –> (Development) –> Queues. Right-click on Queues and Select Create Queue and give a name you want.
   

   Microsoft Azure Storage Explorer – Create Queue

Write data using ZS Azure Queue Storage Destination

In this tutorial, you will learn how to write data into Azure Queue Storage. We will use ZS DummyData Source for practice it but you can use a suitable Source Adapter. So, Let’s start, In this SSIS we will write data into Azure Queue Storage using ZS Azure Queue Storage Destination.

1. Once you have created Azure Storage Queue and you got valid Account Name and AccessKey (for the local emulator you don’t need this) you may proceed to create new SSIS package. In BIDS/SSDT create a new SSIS package.
2. From the SSIS toolbox drag and drop Data Flow Task on the control flow designer surface and double click on it too.
   

   Drag and Drop SSIS Data Flow Task from SSIS Toolbox

3. Click here to create Azure Storage Connection.
4. From the SSIS toolbox drag and drop Dummy Data Source on the dataflow designer surface.
   

   DummyData Source – Drag and Drop

5. Double click Dummy Data Source to configure it. From Template pick JsonDocuments and enter row count=100 to generate 100 JSON documents and click OK to save.
   

   DummyData Source – Configure

6. Let’s drag and drop Azure Queue Storage Destination on the dataflow designer surface from the SSIS toolbox.
7. Now single click on the Dummy Data Source, once you see the blue arrow from the source connect it to Azure Queue Destination.
8. Double click Azure Queue Destination to configure it. Select the connection we have created before.
   

   Configure Connection Manager

9. Click on [Component Properties] tab and select the Target Queue from the dropdown list.
   

   Configure Component Properties

10. Click on [Mappings] tab and verify mapping. Map Document column from upstream to the MessageText target column.
    

    Configure Column Mappings

11. Click OK to save settings.
12. Execute the package and verify target data by going to your Azure Queue. We use Azure Storage Explorer.
    

    SSIS Execute Package

    

    Microsoft Azure Explorer – Verify Queue Data

Read data using ZS Azure Queue Storage Source

1. Here you may proceed In BIDS/SSDT to create a new SSIS package.
2. Now, Drag and Drop SSIS Data Flow Task from SSIS Toolbox.
   

   SSIS Data Flow Task – Drag and Drop

3. Double click on the Data Flow task to see the Data Flow designer surface.
4. From the SSIS toolbox drag and drop ZS Azure Queue Storage Source on the dataflow designer surface.
   

   SSIS ZS Azure Queue Source – Drag and Drop

5. Double click Azure Queue Storage Source to configure it.
6. Select Azure Storage Connection we have created before and select queue from the dropdown and click on preview.
   

   Configure Azure Queue Source

7. Click on OK button to save configure.
8. Now, you can use a suitable Destination Adapter from here. In this case, we used Trash Destination.
9. From the SSIS toolbox drag and drop Trash Destination on the data flow designer surface.
   

   SSIS ZS Trash Destination – Drag and Drop

10. Now single click on the Azure Queue Storage Source once you see the blue arrow from the source … connect it to Trash Destination.
11. Double click on ZS Trash Destination to Configure it.
    

    SSIS ZS Trash Destination – Configure

12. Click on OK button to save Trash Destination configure setting UI.
13. Execute the package and verify source data in the data viewer.
    

    SSIS ZS Azure Queue Source – Execute the Package

14. After messages read from Azure Queue, the same message cannot be read again until VisibilityTimeout. By default Queue, visibility timeout is used (-1 means use default) but you can override it on the source UI.

Conclusion

In this blog, we learn How to Read/Write Azure Queue Storage data in SSIS. We used the Azure Queue Destination for write data and Azure Queue Source to read data. You can download SSIS PowerPack here to try many other scenarios not discussed in this blog along with 70+ other components.

References

Finally, you can use the following links for more information:

• Azure Queue Source
• Azure Queue Destination
• Microsoft Azure Queues
• Help File: Azure Queue Source, Azure Queue Destination, Trash Destination

The post How to Read/Write Azure Queue Storage data in SSIS appeared first on ZappySys Blog.

In our previous blog, we saw how to read/write Azure Blob Storage Files in SSIS (CSV, JSON, XML Format files). Now in this blog, we will see how to Read/Write Azure Table Storage data in SSIS. To illustrate, we will use ZappySys SSIS PowerPack, which includes several tasks to import/export data from multiples sources to multiple destinations like flat files, Azure, AWS, databases, Office files and more. They are Coding free, drag and drop high-performance suite of Custom SSIS Components and SSIS Tasks. If you like to perform other operations on Azure Blob Storage Files (e.g. Download, Upload, Create, Delete) then check these articles.

Component Mentioned in this article

	Azure Table Storage Source
	Azure Table Storage Destination

Prerequisite

1. First, you will need to have SSIS installed
2. Secondly, make sure to have SSDT
3. Download and install Microsoft Azure Storage Emulator
4. Download and install Microsoft Azure Storage Explorer
5. Finally, do not forget to install ZappySys SSIS PowerPack

NOTE: If you want to use Live account (Azure Blob Storage) then you can skip Step #3

What is Azure Table Storage?

Azure Table storage stores large amounts of structured data. The service is a NoSQL datastore which accepts authenticated calls from inside and outside the Azure cloud. Azure tables are ideal for storing structured, non-relational data. Common uses of Table storage include:

Microsoft Azure Table Storage Introduction

• Storing TBs of structured data capable of serving web-scale applications
• Storing datasets that don’t require complex joins, foreign keys, or stored procedures and can be denormalized for fast access
• Quickly querying data using a clustered index
• Accessing data using the OData protocol and LINQ queries with WCF Data Service .NET Libraries

You can use Table storage to store and query huge sets of structured, non-relational data, and your tables will scale as demand increases.

Getting Started

In order to start, we will show several examples. Zappysys includes an SSIS Azure Table Storage Source. Here we are showing you is, how to Read/Write Azure Table Storage data in SSIS.

You can connect to your Azure Storage Account by entering your storage account credentials. Here I am showing an example of the use of the local Azure Storage Emulator.

Setup Azure Storage client tools and Create Table

1. Once you have downloaded and installed a storage emulator You can launch Microsoft Azure Storage Emulator from its Physical location or from the desktop or start menu shortcut.
   

   Azure Storage Emulator Physical Location

2. If you can see the below-attached Command Prompt screen after Emulator started. Then you can proceed to start Microsoft Azure Storage Explorer as the Azure Storage Emulator is started successfully.
   

   Command Prompt Screen after Microsoft Azure Storage Emulator Started

3. Now, you have to download and install Microsoft Azure Storage Explorer and then you can launch Microsoft Azure Storage Explorer from its Physical location or from the desktop or start menu shortcut.
   

   Microsoft Azure Storage Explorer Location.

4. If you don’t have Azure Storage account then it’s easy to get FREE Trial Azure Storage account or use your MSDN to get credit each month which will be more than enough for real testing. If you prefer to avoid all this hassle then Microsoft provides another great way to test Azure Storage functionality is totally offline mode on your local machine. You can just download Azure Storage Emulator and start testing.
5.  Click here to learn more about how to configure Azure Storage Emulator for Testing and Development purposes. In order to connect to Azure Storage Service from SSIS, you will need Storage AccountName and an AccessKey. Ask your SysAdmin or responsible person to provide that information to you. Here are sample Account Name and Access Key(this is just example key which may differ in your case)
   

   Account Name: mystorageaccount 
   Access Key: Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==

6. For Creating a Tables, First of all, you need to go to Microsoft Storage Explorer Window. Then you can go through like this way (Storage Accounts –> Emulator – Default Ports(Key) –> Tables. Right-click on Tables and Select Create Table and put your table name you want.
   

   Create Tables in Azure Table Storage Emulator

Write data using ZS Azure Table Storage Destination

In this tutorial, you will learn how to write data into Azure Table Storage. You can use ZS DummyData Source for practice it(In this case it’s from SQL Server Source). So, Let’s start with an example. In this SSIS we will write data into Azure Table Storage using ZS Azure Table Storage Destination.

1. Once you have created Azure Storage Table and you got valid Account Name and AccessKey (for the local emulator you don’t need this) you may proceed to create a new SSIS package. In BIDS/SSDT create new SSIS package
2. From the SSIS toolbox drag and drop Data Flow Task on the control flow designer surface.
   

   Drag and Drop SSIS Data Flow Task from SSIS Toolbox

3. Double click on the DataFlow task to see DataFlow designer surface.
4. Here, In Visual Studio, drag and drop the OLE DB Source and Azure Table Storage Destination in the design surface and join the components with the blue arrow.
   

   SSIS Azure Table Storage Destination – Drag and Drop

5. Now, we need two connection, OLE DB Connection, and Azure Storage Connection. Click here to create Azure Storage Connection.

How to create OLE DB Connection

1. Let’s, Right-click on Connection Managers Panel to Create OLE DB Connection, so you can use Source and Context Menu will appear, Select New OLE DB Connection from the Context Menu.
   

   OLE DB Connection – Create New Connection

2. Now, click on New Button to create Connection.
   

   OLE DB Connection – Create New Connection

3. Let’s Configure Connection Manager, just Follow steps one by one as we have created.
   

   OLE DB Connection – Configure Connection

4. Click on the OK button to save configure Setting UI.

Write data into Azure Storage Table in SSIS

1. Double click on OLE DB Source for configure it.
2. Let’s Configure in Connection Manager, just follow the below image steps.
   

   OLE DB Source – Configure

3. Click OK to Save OLE DB Source Editor UI Settings.
4. Now double click Azure Table Storage Destination to configure it.
5. On [Connection Manager] tab select Azure Storage Connection manager.
   

   ZS Azure Table Storage Destination – Connection Manager

6. Click on [Component Properties] tab and select AccessMode=Table and Pick destination Table from the Tables dropdown list.
   
   If you choose Reload option then target table is first truncated before inserting records so be careful with Reload option.
   

   ZS Azure Table Storage Destination – Component Properties

7. Click on [Mappings] tab and verify mapping. Drop CustomerID and RecordID mappings and reconnect as shown below. This is just to make sure PrimaryKey columns are mapped.
   

   ZS Azure Table Storage Destination – Column Mappings

8. Click OK to save settings.
9. Execute the package and verify the target data.
   

   ZS Azure Table Storage Destination – Execute the Package

   

   ZS Azure Table Storage – Verify Customers Table Data

Read data using ZS Azure Table Storage Source

In this tutorial, you will learn how to read data from Azure Table Storage in SSIS using the ZS Azure Table Storage Source adapter. In this SSIS we will read data with SQL Query and Table Mode. So Let’s begin it.

1. You may proceed to create a new SSIS package. In BIDS/SSDT create a new SSIS package.
2. From the SSIS toolbox drag and drop Data Flow Task on the control flow designer surface.
   

   SSIS Data Flow Task – Drag and Drop

3. Double click on the DataFlow task to see DataFlow designer surface.
4. From the SSIS toolbox drag and drop Azure Table Storage Source on the data flow designer surface.
   

   ZS Azure Table Storage Source – Drag and Drop

5. Now, we need an Azure Storage connection. Click here to Create Connection.

Extract data with Query Mode

1. Here, we are getting data using Query Mode with Dynamic expression value.
2. Lets, create a Variable with correct DataType and Value, use the following image.
   

   SSIS Variables – Create Variable and Store Value

3. Double click Azure Table Storage Source to configure it.
4. Select the connection we have created before, set AccessMode to Query. You can use the following SQL Query and select Variable. Click here for more Azure Table Storage Query Examples.
   

   SELECT * FROM Customers
   WHERE Country = '{{User::varCountry}}'

   

   ZS Azure Table Storage Source – Configure Query Mode

5. Click on the Preview button to see Data Preview and OK button to save configure setting UI.
6. From the SSIS toolbox drag and drop Trash Destination on the data flow designer surface.
   

   ZS Trash Destination – Drag and Drop

7. Now single click on the Azure Table Storage Source, once you see the blue arrow from the source … connect it to Trash Destination.
8. Double click on ZS Trash Destination to Configure it.
   

   ZS Trash Destination – Configure

9. Click on the OK button to save Trash Destination configure setting UI.
10. Execute the package and verify source data in the data viewer.
    

    SSIS ZS Azure Table Storage Source – Execute the Package

Extract data with Table Mode

1. So, Double click Azure Table Storage Source to configure it.
2. In the Azure Table Storage Source, Select the connection we have created, set AccessMode to Table and Select Table from the Tables dropdown.
   

   SSIS ZS Azure Table Source – Configure Table Mode

3. Click on the Preview button to see Data Preview and OK button to save configure setting UI.
4. From the SSIS toolbox drag and drop Trash Destination on the data flow designer surface.
   

   ZS Trash Destination – Drag and Drop

5. Now single click on the Azure Table Storage Source, once you see the blue arrow from the source … connect it to Trash Destination.
6. Double click on ZS Trash Destination to Configure it.
   

   ZS Trash Destination – Configure

7. Click on the OK button to save Trash Destination configure setting UI.
8. In the last, Execute the package and verify source data in the data viewer.
   

   ZS Azure Table Storage Source – Execute the Package

Conclusion

After all, In this blog, we learned how to write data in Azure Table Storage in SSIS. We used the Azure Table Storage Destination for write and Azure Table Storage Source to read data from Microsoft Azure Table Storage using Query and Table mode. You can download SSIS PowerPack here to try many other scenarios not discussed in this blog along with 70+ other components.

References

There are a few details you should use the following links for more information:

• Azure Table Storage Destination
• Azure Table Storage Source
• ZS Trash Destination
• Microsoft Azure Table Storage
• Help File:
  • Azure Table Storage Destination
  • Azure Table Storage Source
  • ZS Trash Destination

The post How to Read/Write Azure Table Storage data in SSIS appeared first on ZappySys Blog.

Using REST API with SharePoint in SSIS is a common requirement to Administer SharePoint. SharePoint 365 is a nice Microsoft application in the Cloud used to share documents and collaborate with the company. You can have schedules, projects, documents and more shared using a Web platform.

In addition, it is a very useful tool that your company may need. It is also possible to automate, administer task using Rest API.
This article, we will learn how to create REST API queries to SharePoint 365 using the Microsoft Graph API using SSIS. To learn about other Office 365 REST API in SSIS check this article (Outlook, Onedrive, mail, Excel API).

Also, we will show our ZappySys SSIS PowerPack that includes very powerful tools to export SharePoint data from REST API to any other source.

	SSIS REST API Web Service Task
	SSIS JSON Source (File, REST API, OData Connector)
	SSIS JSON File Destination (Create JSON File)

Requirements to REST API with SharePoint

1. First, you will need SSDT installed.
2. Second, SSIS PowerPack installed.
3. An Office 365 Account with SharePoint 365

Getting started

Microsoft included the Microsoft Graph to easily create API queries to different Microsoft components like OneDrive, Excel, Insights, Microsoft Team, Planner and more.

The Microsoft Graph is a gateway to access to 365 Data in an integrated platform. Let’s start with the Microsoft Graph Explorer and do some REST API queries to understand how to use REST API in SharePoint.

Microsoft Graph Explorer to SharePoint introduction

The best way to learn REST API with SharePoint 365 is to use the Graph Explorer. You can run API queries using the Graph Explorer and get your data. Here we will show how.

1. First, we will go to the Graph Explorer and sign-in with your Office 365 Account.
2. Secondly, in Run Query, you can specify your query, which will show SharePoint information.
   

   Graph Explorer

3. Let start with this link:
   

   https://graph.microsoft.com/v1.0/sites/root/lists

4. This shows properties about site resources. The response of the query is in JSON format:
   

   Graph API Microsoft JSON results

5. Also, it is possible to enable examples for SharePoint Sites, SharePoint Lists, and other Microsoft technologies:
   

   Graph API Applications

Create an OAuth connection to REST API with SharePoint in SSIS

1. 1. First, to get the Data from the Microsoft Graph, we will sign in to create an application in the Azure Portal app registration.
   2. Secondly, create a Microsoft Application. It will provide you an Application ID and a Password. For detailed steps about how to create a Microsoft Application, check our article related.
      

      Microsoft Graph API application id password

   3. Once that the application is created, go to SSDT or Visual Studio and create a new connection.
      

      SSIS OAuth connection

   4. Select the ZS-OAuth connection. Once selected, enter the Client ID (the Microsoft Graph Application ID), the client secret (application password).
   5. Add the Authorization URL is the following:
      

      https://login.microsoftonline.com/common/oauth2/v2.0/authorize

   6. Also, include the Access token URL is the following:
      

      https://login.microsoftonline.com/common/oauth2/v2.0/token

   7. The following permissions were applied in the example: User.Read
      

      offline_access
      Sites.ReadWrite.all
      Sites.Manage.All
      Sites.FullControl.All

      NOTE: It is advised to include offline_access scope in order to get a Refresh Token and to be free of any token restrictions.
   8. Once that the properties are entered, press the Generate token button:
      

      SSIS OAuth with REST API with SharePoint in SSIS

How to call SharePoint API in SSIS

1. Once that your OAuth Connection is created, we can use it in a REST API task. This task is included with the ZappySys SSIS PowerPack:
   

   SSIS REST API task

2. Secondly, in the REST API Task, select the option URL from connection and select the OAuth connection created before. We will first use the following URL to see the list of site properties:
   

   https://graph.microsoft.com/v1.0/sites/root/lists

3. Also, press Test request/Response button to get the results of the query:
   

   SSIS SharePoint rest API call

4. The response will be in JSON format:
   

   REST API SSIS Sharepoint 365 response

5. Also, it is possible to store the results in a file or a variable:
   

   SSIS save API SharePoint response to a file REST API with SharePoint

6. In Addition, you can run the following query to enumerate all the sites:
   

   https://graph.microsoft.com/beta/sites?select=siteCollection,webUrl&filter=siteCollection/root%20ne%20null

7. Also, to show the information on a specific site, the following query will be used:
   

   https://graph.microsoft.com/v1.0/sites/site-id

8. For example, if you site id is zappysys.sharepoint.com the URL would be the following:
   

   https://graph.microsoft.com/v1.0/sites/zappysys.sharepoint.com

9. To enumerate sites, the following example can be useful:
   

   https://graph.microsoft.com/beta/sites?select=siteCollection,webUrl&filter=siteCollection/root%20ne%20null

10. Also, to enumerate lists, you can use the following URL:
    

    https://graph.microsoft.com/beta/sites/zappysys.sharepoint.com/lists

How to read SharePoint lists in SSIS using REST API

We will learn how to show SharePoint lists using rest API.

In addition, you can get the list ids using this query:

https://graph.microsoft.com/beta/sites/zappysys.sharepoint.com/list

SharePoint list API

How to read data from a Sharepoint List

1. To get the list of ithems form a list use the following query:
   

   https://graph.microsoft.com/beta/sites/zappysys.sharepoint.com/lists/mylist/items/

2. Finally, to get metadata from a list, you can use the following query. To learn more how to import Sharepoint List into SQL Server use JSON / REST API Source.

https://graph.microsoft.com/beta/sites/zappysys.sharepoint.com/lists/fcf5fa2b-ceeb-4c9b-80e5-7bedd455fc9b

SSIS Sharepoint metadata list

How to create a SharePoint list item in SSIS using REST API (POST Method)

It is also possible to POST data using REST API. In the next example, we will create a new list in SharePoint 365 using REST API.

1. First, in SSDT, use the REST API Task used previously and specify the following URL:
   

   https://graph.microsoft.com/beta/sites/zappysys.sharepoint.com/lists/mynewlist/items/

   Where zappys.sharepoint.com is the site id and mynewlist is a new list created. Also, in the HTTP Request Method, use the POST method.
2. In addition, go to the Body Request, we will create a widget. We will use the following JSON data and make sure to select JSON (application/json) in the body:
   

   {
   "fields": {
   "Title": "Widget"
   }
   }

   

   SharePoint Post REST API

3. Finally, if everything is successful, you will be able to see the new item created:
   

   SSIS SharePoint list created with a POST

How to export SharePoint API response results to a file

We have a nice task named JSON Source used to get data from REST API or a JSON file and export to any source the results like SQL Server, Excel, a flat file, etc.
In this example, we will export data from the JSON Source to a JSON file using the JSON Destination Task.

1. First of all, we will use the Data Flow. Drag and drop the data flow to the design pane and double click to go to the Data Flow tab:
   

   SSIS Data Flow

2. Secondly, in the Data Flow tab, drag and drop the JSON Source, the JSON Destination and join them:
   

   SSIS JSON source to JSON destination

3. In addition, in the JSON Source, we will check the option Use Credentials and select the OAuth connection created and used before.
4. Enter Path or Web URL, we will use the following URL:
   

   https://graph.microsoft.com/beta/sites/zappysys.sharepoint.com/lists

5. Also, We will use the following filter:
   

   $.value[*].list

   

   SSIS JSON Source REST API with SharePoint in SSIS

6. In addition, go to JSON Destination task, select mappings and right click on add elements:
   

   SSIS JSON Destination

7. Also, select the attributes:
   

   SSIS add attributes

8. Finally, run the package to export the data.

Conclusion about REST API with SharePoint in SSIS

To conclude, we can say that SharePoint 365 is a very popular application to share documents and information. With REST API it is possible to get data properties and administer SharePoint. We used the REST API, JSON Source to get and send information. If you want to try yourself, you can download our tools here.

References

• Get access on behalf of a user
• Working with SharePoint sites in Microsoft Graph
• About SSIS PowerPack

The post Calling SharePoint 365 REST API in SSIS appeared first on ZappySys Blog.