Azure Data Engineering Workflow
The Azure Data Engineering Workflow is the backbone of modern data-driven businesses. It connects data ingestion, storage, transformation, analysis, and consumption into a seamless pipeline using Azure’s powerful cloud services like Data Factory , Data Lake , Databricks , and Synapse Analytics . By understanding how this workflow operates, organizations can unlock real-time insights, improve decision-making, and scale efficiently in the cloud. 1. What is Azure? Microsoft Azure is a cloud computing platform that provides on-demand services such as compute, storage, networking, databases, analytics, and AI. It allows organizations to build, deploy, and manage applications through a global network of Microsoft-managed data centers. 👉 In simple terms, Azure = Microsoft’s cloud ecosystem where businesses can run workloads without worrying about physical servers. 2. Why Cloud? Traditional on-premises systems are costly, rigid, and hard to scale. ...