Fundamentals of Data Engineering: Plan and Build Robust Data Systems Master data engineering fundamentals: Understand the principles and best practices of data engineering. Plan and design data systems: Learn to architect and design scalable, reliable, and efficient data systems. Build data pipelines: Create end-to-end data pipelines that extract, transform, and load data from various sources. Manage data quality: Implement techniques to ensure data accuracy, consistency, and completeness. Monitor and optimize data systems: Monitor system performance, identify bottlenecks, and optimize data pipelines for efficiency. Hands-on exercises and real-world examples: Apply your knowledge through practical exercises and case studies.