Building and Managing Data Lakes on AWS (Intermediate)
In this quest, you will delve into the world of data lakes using Amazon Web Services (AWS). You will learn how to architect a data lake that can handle vast amounts of structured and unstructured data. The quest will guide you through the process of setting up an AWS account, provisioning the necessary services such as Amazon S3, AWS Glue, and Amazon Athena, and configuring ETL (Extract, Transform, Load) processes. You will also explore best practices for data governance, security, and cost management in a data lake environment. By the end of this quest, you will have a solid understanding of how to leverage AWS to build and manage a scalable data lake, enabling you to make data-driven decisions and insights.
• Understand the architecture and components of a data lake on AWS
• Learn how to provision and configure Amazon S3 for data storage
• Implement ETL processes using AWS Glue
• Analyze data using Amazon Athena and optimize performance
