Legacy to Cloud Migration on Azure (End-to-End) | Terraform + AzCopy + Azure Data Factory

Описание: In this video, we build a complete end-to-end cloud migration pipeline on Microsoft Azure using real enterprise architecture and best practices.

We start with legacy flat files on local system, stage them in Azure Blob Storage using AzCopy with checksum validation, and then automatically load the data into Azure SQL Database using Azure Data Factory pipelines — all secured using Managed Identity and RBAC, without storing any passwords.

All infrastructure is provisioned using Terraform (Infrastructure as Code), making this solution repeatable and production-ready.

This architecture is commonly used in enterprise migration programs, especially in banking and regulated industries.

✅ What you will learn

Overall cloud migration architecture design

How Terraform is used to provision Azure resources

Secure authentication using Managed Identity

Uploading data using AzCopy with checksum

Building Azure Data Factory pipelines

Event-based automated data ingestion

🧱 Architecture Overview

Local Files → AzCopy → Azure Blob Storage (Staging) → Azure Data Factory Pipeline → Azure SQL Database
Security: Azure Entra ID Managed Identity + RBAC
Provisioning: Terraform

🧰 Technologies Used

Terraform

Azure Blob Storage

Azure SQL Database

Azure Data Factory

AzCopy

Managed Identity (Azure Entra ID)

📺 Who is this video for?

Legacy / Mainframe developers moving to cloud

Cloud beginners learning real-world Azure architecture

Data engineers interested in migration pipelines

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