Designing Data Storage and Integration Solutions in Azure

In the modern cloud era, building resilient data architectures is essential for driving business intelligence and analytics. This course guides you through the foundational concepts and practical design patterns needed to architect reliable data solutions. You will learn to evaluate different storage technologies, integrate disparate data sources, and ensure your architectures meet strict security and performance standards. By the end of this course, you will be able to design comprehensive, production-ready data storage and integration pipelines on Azure. What you'll learn: Understand core Azure storage options including Blob storage, Data Lake Storage, and Cosmos DB; Design secure and scalable data integration pipelines using Data Factory; Implement modern data lakehouse architectures and structured file formats; Configure robust access controls, encryption, and network security for data assets; Optimize data storage performance and plan for high availability and disaster recovery. We begin by exploring foundational storage concepts and security principles before moving into integration patterns, pipeline orchestration, and real-world design scenarios. This course is designed for beginners, data professionals, and aspiring cloud architects, with no prior Azure design experience required. Start reading today to build a strong foundation in cloud data architecture.