Foundations of Data Architecture

Are you looking to turn complex data challenges into structured, valuable assets? A solid understanding of data architecture is the key to unlocking insights and driving decisions, but knowing where to start can be overwhelming. This course provides the foundational knowledge you need to think like a data architect. You will learn the principles behind designing robust data models, building efficient data pipelines, and selecting the right technologies to create scalable and secure data solutions. By the end, you'll be able to confidently approach data architecture challenges with a clear, systematic framework. What you'll learn: - Understand the core principles of data architecture and the responsibilities of a data architect. - Design effective data models, including relational (ERD) and dimensional (star, snowflake) schemas. - Compare different database technologies, from traditional SQL to various NoSQL systems, for different use cases. - Structure data flows using ETL and ELT patterns for data warehouses, data lakes, and lakehouses. - Apply fundamental concepts of data governance, security, and quality management in your designs. - Explore the patterns behind modern, cloud-based data platforms and how they operate at scale. The course begins with key terminology and foundational concepts before moving into practical design principles and architectural patterns. You will progress from understanding individual components to designing cohesive systems through written explanations and exercises. This course is designed for aspiring data professionals, analysts, and engineers. No prior experience in data architecture is required to get started. Begin your journey to designing effective data systems today.