Fundamentals Of Data Engineering Masterclass

This Data Engineering masterclass covers the fundamentals of Data Engineering, including the life cycle, data generation, storage, database management, data modeling, and the distinction between SQL and NoSQL. It delves into data processing systems like OLTP and OLAP, ETL processes, and building data architecture from scratch. The session also explores data warehousing, dimensional modeling, data marts, data lakes, big data, cloud services (AWS, GCP, Azure), and key tools for data engineering such as Python, SQL, Apache Spark, Databricks, Apache Airflow, and Apache Kafka. Real-world architecture case studies on AWS and GCP are discussed as well.