Building a Serverless Data Lake on AWS

The Building a Serverless Data Lake on AWS course focuses on enabling participants to develop an operational data lake capable of handling structured and unstructured data. Throughout the course, participants will gain comprehensive knowledge of the components and functionalities of AWS services essential for building an efficient data lake.

Participants will have the opportunity to create a data lake using AWS Lake Formation, a service that simplifies the process of setting up and managing data lakes. Additionally, the course covers the use of AWS Glue, a data catalog service that facilitates data discovery and metadata management within the data lake environment. Participants will also learn data analysis techniques using Amazon Athena, a serverless query service for analyzing data directly from the data lake.

To enhance understanding and practical skills, the course provides lectures and hands-on labs that explore various common data lake architectures. By examining these structures, participants will gain insights into designing and optimising data lakes to meet specific business requirements.

• Data Platform Engineers
• Data Scientists
• Solutions Architects
• IT Professionals

• Completed the AWS Technical Essentials course
• Commercial experience building data analytics pipelines
• Enrolled in the Data Analytics Fundamentals digital course

• Utilise data lake design and planning approaches while creating a data lake
• Describe the elements and services necessary to establish an AWS data lake
• Protect a data lake with the proper authorisation
• Data lake ingest, storing, and transformation
• Data lake query, analysis, and visualisation