The “Building Data Lakes on AWS” course provides a comprehensive guide to creating, managing, and utilizing data lakes on the AWS cloud platform. It is designed to help learners understand the value of data lakes, differentiate them from data warehouses, and recognize the crucial components that make up a data lake.

The course covers essential topics such as data ingestion, cataloging, preparation, and processing using a variety of AWS services, including AWS Glue, Amazon Athena, and AWS Lake Formation.Learners will gain practical experience through hands-on labs, setting up a simple data lake, building a data lake with AWS Lake Formation, automating data lake creation, and data visualisation using Amazon QuickSight. By the end of the course, participants will have a solid understanding of building data lakes on AWS, and will be equipped with the skills to build a data lake on AWS effectively, ensuring they can leverage the full potential of their data assets in the cloud.

Audience Profile

This course is intended for Individuals who are responsible for designing cloud infrastructure and reference architectures , Individuals who have attended Architecting on AWS course and Systems Engineers and Developers who are responsible for designing and implementing advanced architectures on AWS

Learning Objectives and Outcomes:

• Understand the fundamental value and concepts of data lakes compared to traditional data warehouses.
• Learn the key components that constitute a data lake and explore common architectures integrating data lakes.
• Gain knowledge of data ingestion methods, cataloging with AWS Glue, and preparation techniques for optimal data storage and retrieval in AWS.
• Acquire hands-on experience in setting up a basic data lake on AWS through practical labs.
• Recognise the importance of data processing within a data lake and how to apply these concepts using AWS Glue.
• Learn to analyse data efficiently using Amazon Athena within a data lake environment.
• Explore the features, benefits, and security model of AWS Lake Formation for creating and managing data lakes.
• Gain practical skills in building a data lake using AWS Lake Formation through guided laboratory exercises.
• Understand how to automate data lake creation with AWS Lake Formation blueprints and workflows and enforce security and access controls.
• Develop the ability to match records and visualise data effectively using AWS Lake Formation FindMatches and Amazon QuickSight, respectively.

Course Objectives

After completing this course, students will be able to:

• Manage multiple AWS accounts for your organisation 
• Connect on-premises data centre to AWS cloud 
• Discuss billing implications of connecting multi-region VPCs 
• Move large data from on-premises data centre to AWS 
• Design large datastores for AWS cloud 
• Understand different architectural designs for scaling a large website 
• Protect your infrastructure from DDoS attack 
• Secure your data on AWS with encryption 
• Design protection of data-at-rest as well as data-in-flight 
• Enhance the performance of your solutions