Fundamentals of Big Data on Azure

Managing and analyzing massive datasets is a critical skill in today's data-driven world, yet navigating cloud infrastructure can feel overwhelming. This course guides you from absolute beginner to a confident understanding of how big data is stored, processed, and analyzed in the cloud. You will learn how to design modern data architectures and leverage cloud services to handle scale. What you'll learn: Understand core big data concepts, including volume, velocity, variety, and the transition from traditional databases to data lakes. Explore the fundamentals of cloud storage and how to organize unstructured and semi-structured data using Azure Data Lake Storage. Learn the principles of modern data lakehouse architectures, combining the best of data warehouses and data lakes. Discover how to process large-scale data using Azure Synapse Analytics and Azure Databricks. Practice designing basic data ingestion and integration pipelines using Azure Data Factory. Apply security and governance best practices to protect sensitive data assets in the cloud. You will start with essential terminology and foundational big data concepts before exploring specific Azure services and modern cloud architecture patterns. Designed for absolute beginners, this course requires no prior cloud computing or data engineering experience. Start reading today to build a strong foundation in modern cloud data solutions.