This course covers the fundamentals of data engineering on AWS that are essential for developers and data engineers. The content includes understanding data characteristics, comparing Data Warehouses and Data Lakes, and managing ETL Pipelines. Additionally, it encompasses the design and development of data storage solutions, optimizing database performance, data sampling techniques, and data profiling and monitoring, enabling you to manage large datasets effectively on the AWS platform.
In this course, you will learn about security on Amazon S3, versioning, data replication, managing storage classes, and data lifecycle management policies. By understanding these concepts and applying them in real-world scenarios, you will enhance your data management skills and your ability to work on AWS in a world filled with complex and diverse data.
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