Getting Started with Azure Data Solutions

The Getting Started with Azure Data Solutions course is designed for beginners, aspiring data engineers, data analysts, cloud professionals, and IT practitioners who want to build a strong foundation in Microsoft Azure’s data ecosystem. This course introduces learners to core Azure data services used for data ingestion, processing, storage, analytics, and monitoring. You will explore how modern data solutions are designed end to end using services such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure SQL, Azure Cosmos DB, Apache Spark, Microsoft Fabric, and Azure Monitor. Through a combination of conceptual explanations, demos, and real-world examples, this course helps you understand how data flows from ingestion to analytics in the Azure cloud. The course delivers approximately 8–10 hours of structured video content, organized into four modules. Each module includes quizzes and knowledge checks to reinforce learning and validate understanding. Enroll in Getting Started with Azure Data Solutions to gain practical knowledge of Azure data services and confidently begin your journey into cloud-based data engineering and analytics. Course Modules Module 1: Azure Data Engineering Fundamentals Understand the basics of Azure data engineering, including batch and stream processing concepts and the core services used to build data pipelines. Module 2: Azure Data Storage and Database Services Overview Explore Azure storage, database, and data lake services, and learn how to choose the right storage and database solution for different data scenarios. Module 3: Microsoft Azure End-to-End Data Analytics Learn how Azure Synapse Analytics, Apache Spark, and Microsoft Fabric enable large-scale analytics and modern data platform architectures. Module 4: Azure Data Monitoring, Ingestion, and Analytics Discover how to ingest, monitor, and analyze data using Azure Monitor, Azure Data Factory, Azure Databricks, and Azure Event Hubs. By the End of This Co