Azure Blob Storage integrations & connectors

Unlike traditional on-premise solutions, Azure Blob Storage operates entirely in the cloud, offering tiered storage options to optimize performance and cost. The service can be used for a wide range of use cases, including data archiving, big data analytics, and disaster recovery, and it can be easily connected to other Azure services.

By integrating Azure Blob Storage with the Windsor.ai data movement platform, you can:

• Centralize marketing, sales, and CRM data (e.g., Facebook Ads, Google Ads, Google Analytics, Salesforce) in a secure and scalable storage solution.
• Store and manage raw or processed data from various sources for further analysis or visualization.
• Enable seamless cross-channel data storage and analytics for better decision-making and business insights.

Yes, while connecting Windsor.ai to Azure Blob Storage, you can schedule automated data streams by specifying the schedule type and time.

Yes, you can use the Folder Path field in Windsor.ai to create a directory structure within your container. For example, you can define paths like marketing/google-analytics or analytics/sales data to categorize files effectively.

Make sure you have the following things in place:

• Correct connection string and container name are provided.
• Azure subscription and storage accounts are active.

Windsor.ai uses secure OAuth authentication and encrypted data transfer protocols. Configure your Azure roles and privileges to limit access to sensitive data.