For migrating OwnCloud URLs to Azure Blob SAS URLs in SQL Server, C# is your best choice due to its excellent integration with both Azure SDK and SQL Server. For the best solutions contact Glocal Adda

Recommended Approach

1. Use C# with these key libraries:

csharp

// Azure Storage SDK
Azure.Storage.Blobs
Azure.Storage.Sas

// SQL Server connectivity
System.Data.SqlClient (or Microsoft.Data.SqlClient)

2. High-level migration strategy:

Phase 1: Data Migration

• Extract files from OwnCloud storage

• Upload to Azure Blob Storage containers

• Generate SAS URLs for each blob

• Maintain mapping between old and new URLs

Phase 2: Database Update

• Query SQL table to get all OwnCloud URLs

• Replace with corresponding Azure Blob SAS URLs

• Update records in batches for performance

Sample Implementation Structure

csharp

public class UrlMigrationService
{
    private readonly BlobServiceClient _blobClient;
    private readonly SqlConnection _sqlConnection;
    
    public async Task MigrateUrls()
    {
        // 1. Get OwnCloud URLs from database
        var oldUrls = await GetOwnCloudUrls();
        
        // 2. For each URL, generate Azure Blob SAS URL
        foreach(var url in oldUrls)
        {
            var sasUrl = GenerateSasUrl(url.BlobName);
            await UpdateUrlInDatabase(url.Id, sasUrl);
        }
    }
    
    private string GenerateSasUrl(string blobName)
    {
        var blobClient = _blobClient.GetBlobContainerClient("container")
                                  .GetBlobClient(blobName);
        
        return blobClient.GenerateSasUri(BlobSasPermissions.Read, 
                                        DateTimeOffset.UtcNow.AddHours(24))
                        .ToString();
    }
}

Key Considerations

SAS URL Expiration: SAS URLs have expiration times. Consider:

• Short-term SAS for temporary access

• Regenerating SAS URLs periodically

• Using stored access policies for better control

Performance:

• Process in batches to avoid timeouts

• Use async/await for better throughput

• Consider using SqlBulkCopy for large datasets

Error Handling:

• Log failed migrations for retry

• Validate URLs before updating database

• Implement rollback strategy

Alternative Approaches

1. Use Azure Data Factory for large-scale data movement 2. PowerShell scripts if you prefer scripting approach 3. SQL Server Integration Services (SSIS) for complex ETL scenarios

Security Best Practices

• Use managed identities for Azure authentication

• Store connection strings in Azure Key Vault

• Implement proper access controls on blob containers

• Consider using Azure CDN for better performance