Cloud Data Transformation Fundamentals

Raw data is rarely ready for analysis. Learn how to effectively clean, structure, and enrich your datasets using the power and scale of modern cloud platforms. This course provides a complete foundation in cloud-based data transformation. You will move from understanding basic concepts to applying practical techniques for building automated data pipelines. By the end, you'll be able to confidently process raw data and prepare it for analytics, reporting, and machine learning applications. What you'll learn: - Understand core data transformation patterns like ETL (Extract, Transform, Load) and ELT. - Learn to design and implement automated data pipelines in the cloud. - Apply SQL for cleaning, filtering, and aggregating large datasets efficiently. - Explore serverless tools for cost-effective, event-driven data processing. - Grasp the fundamentals of data warehousing and data modeling in a cloud context. - Practice fundamental data quality checks to ensure your data is accurate and reliable. The course starts with the essential terminology of data engineering and the principles of data transformation, then progresses to written exercises on building and managing data workflows. This course is designed for absolute beginners. No prior experience in data engineering or cloud computing is required to get started. Begin your journey into the world of cloud data engineering today.