• Objective

  Many organizations rely on SharePoint for data management, but integrating this data into modern cloud environments presents security and automation challenges. Manual processes are inefficient, prone to errors, and expose sensitive data to risks. Our objective was to build a secure and automated data ingestion pipeline that seamlessly integrates SharePoint data into Azure Storage, reducing manual overhead and ensuring data reliability.

• Solution

  Our solution leverages Microsoft Graph API and Azure Data Factory to create a fully automated and secure data ingestion pipeline:

  • Secure Authentication – The process begins by securely retrieving a service principal secret from Azure Key Vault, ensuring credentials remain protected.

  • Data Retrieval – Using the bearer token, the system queries the Graph API to obtain the necessary SharePoint drive ID.

  • Data Ingestion – Azure Data Factory is used to copy files from SharePoint into an Azure Storage Account, ensuring data integrity while keeping sensitive information protected.

• Outcome

  • Enhanced Security – Sensitive authentication details are safeguarded through Azure Key Vault and secure token handling.

  • Automated Data Flow – The end-to-end integration eliminates manual data extraction, reducing errors and increasing efficiency.

  • Reliability & Scalability – Azure Data Factory ensures a robust and scalable pipeline capable of handling complex data movements efficiently.

• Technology

  • Microsoft Graph API – Facilitates secure data extraction from SharePoint.

  • Azure Key Vault – Manages and protects authentication credentials.

  • Azure Data Factory – Automates data movement and transformation.

  • Azure Storage Account – Stores the ingested SharePoint data securely.

How does it work?