Amazon Web Services (AWS) is a private cloud computing platform and subsidiary of Amazon, founded in 2006. It is a globally recognized leader in cloud computing, offering a wide range of services such as computing power, storage solutions, machine learning, and data analytics. AWS stands out for its scalability, security, and reliability, serving millions of customers including startups, enterprises, and public sector organizations. Its innovative solutions power some of the world's most prominent applications, making it a cornerstone of modern technological infrastructure.

Designing a data lake is challenging because of the scale and growth of data. Developers need to understand best practices to avoid common mistakes that could be hard to rectify. In this course we will cover the foundations of what a Data Lake is, how to ingest and organize data into the Data Lake, and dive into the data processing that can be done to optimize performance and costs when consuming the data at scale. This course is for professionals (Architects, System Administrators and DevOps) who need to design and build an architecture for secure and scalable Data Lake components. Students will learn about the use cases for a Data Lake and, contrast that with a traditional infrastructure of servers and storage.