The Azure Data Engineering course provides a comprehensive guide to building and managing data solutions on the Azure platform. You’ll begin by mastering core data services like Azure SQL Database, Azure Blob Storage, and Azure Data Lake, forming the foundation for scalable data solutions. The course dives into data ingestion techniques, using Azure Data Factory to automate ETL (Extract, Transform, Load) processes and manage workflows. You’ll explore the power of Azure Synapse Analytics for big data processing and real-time analytics, allowing you to combine data warehousing and big data analytics seamlessly. Data transformation is key, and you’ll learn how to work with Azure Databricks to process and analyze data using Spark. The course also covers data security and compliance, focusing on encryption, access control, and best practices to safeguard sensitive information. With a focus on advanced analytics, you’ll explore Azure Machine Learning and cognitive services to integrate AI into your data pipelines. Finally, you’ll learn how to optimize costs and performance using Azure’s monitoring tools and best practices for resource management across your data engineering workflows.