Is there any way to integrate SharePoint on premise with Azure ADF,though there is a SharePoint connector in azure ADF but its only work with SharePoint online.
Is there any other way around to download from SharePoint on premise using python or scala
Thanks
Just for now, Data Factory doesn't support on-premise SharePoint as the connector.
About your another question, we can't tell you there is or not, you must test it by yourself. One of the workarounds is that use the Azure databricks python notebook, I searched fount these documents may helpful: Connect your Azure Databricks workspace to your on-premises
network
There isn't an exist tutorial/example for you. The last thing is that you need to build/design the code logic/library to connect to your on-premise sharepoint.
Related
Im my organisation, we are using two factor authentication for O365. I need to connect to sharepoint using python. Is there any way to connect it? And it need to bypass the two factor authentication
Create an Microsoft-Graph application in your company's azure and then connect to sharepoint using the application endpoint of microsoft graph and the given credentials.
This is a good package to use
I have a Service principal with a client id and client secret. It has permission to the Azure SQL DB. I want to use python to generate an access token and use it to authenticate to my sql server. Could someone guide me.
I am new with python and would appreciate if someone could specify if I need any supporting libraries for this to work.
I want to use python to generate an access token.
The Azure Active Directory Authentication library for python can be used to access SQL Server in Azure.
Refer this GitHub repository to know more details and how to implement the same.
How can I mock existing Azure Databricks PySpark codes of a project (written by others) and run them locally on windows machine/Anaconda to test and practice?
Is it possible to mock the codes or I need to create a new cluster on Databricks for my own testing purposes?
how I can connect to storage account, use the Databricks Utilities, etc? I only have experience with Python & GCP and just joined a Databricks project and need to run the cells one by one to see the result and modify if required.
Thanks
You can test/run PySpark code from your IDE by installing PySpark on your local computer.
Now, to use Databricks Utilities, in fact you would need a Databricks instance and it's not available on local. You can try Databricks community Editionfor free but with some limitation
To acess a cloud storage account, it can be done locally from your computer or from your own Databricks instance. In both cases your will have to set up the end point of this storage account using its secrets.
I am trying to find a way that I can run commands to either open applications/files from my local machine or import files from my local machine in Microsoft Azure Notebooks without uploading them directly to the Azure cloud. Does anyone know if this is possible or if who/where is a better place to ask?
No, you cannot. The jupyter is run a micro-server, which is hosted on the Azure. You can only used the data on the Azure cloud. Been there, wished that, but no.
Currently i am working on a project which submits data to the Microsoft Azure platform.
I'm using a service bus which contains various queues and subscriptions.
Since i am developing for the Raspberry Pi i decided to use the Azure SDK for Python found on GitHub.
To make sure not every device can delete messages i want to have some policies. Microsoft Azure supports Shared Access Signature Authentication (SAS) and Access Control Service (ACS).
Yet i haven't found a way to use SAS with the Python library.
I am fairly new to using Python so it could be that i am just looking over it, but some help or directions would be appreciated.