Discover modern data architectures and cloud analytics solutions on AWS

Navigating modern analytics requires mastering data lakes, data warehousing, and key architectural principles. Examining AWS Lake Formation reveals how to overcome storage challenges, enforce governance, and transition from legacy warehouses.

Explore modern data architectures and data mesh strategies

Analysing data movement, reference architectures, and data mesh patterns helps identify optimal AWS services for complex workloads. Real-world use cases and knowledge checks confirm essential skills for building unified environments.

You’ll access learning content and practical activities online through Amazon Web Services (AWS), alongside your FutureLearn course experience, giving you direct access to AWS learning as you progress.

Syllabus

Week 1
Fundamentals of Analytics on AWS – Part 2
- Fundamentals of Analytics on AWS – Part 2
  In this activity, you will examine data lakes, AWS Lake Formation, data warehousing, and modern data architecture pillars to understand AWS services, data movement scenarios, and common reference architectures.

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

Available now

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

Explain data lakes, benefits, and functions.
Describe the basic data lake architecture, the AWS services used to build a data lake, and challenges with building a data lake.
Explain AWS Lake Formation architecture, features and benefits.
Explain data warehousing, challenges with an on-premises data warehouse, and available AWS solutions.
Explain modern data architecture pillars and modern data architecture concepts.
Explain data movement scenarios.
Describe the data mesh architecture pattern, benefits, and available AWS solutions.
Identify the available AWS services for building modern data architectures.
Identify the components of modern data architecture.
Describe common use cases for modern data architecture.

Who is the course for?

This course is ideal for cloud architects, data engineers, data analysts, data scientists, and developers

Who developed the course?

Amazon Web Services (AWS)

AWS is the world’s most comprehensive cloud, enabling organizations to accelerate innovation, reduce costs, and scale more efficiently.

What's included?

Amazon Web Services (AWS) are offering everyone who joins this course a free digital upgrade, so that you can experience the full benefits of studying online for free. This means that you get:

Unlimited access to this course

Includes any articles, videos, peer reviews and quizzes

A PDF Certificate of Achievement to prove your success when you’re eligible

Learning on FutureLearn

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Courses are split into weeks, activities, and steps to help you keep track of your learning
Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
Stay motivated by using the Progress page to keep track of your step completion and assessment scores

Join a global classroom

Experience the power of social learning, and get inspired by an international network of learners
Share ideas with your peers and course educators on every step of the course
Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others

Map your progress

As you work through the course, use notifications and the Progress page to guide your learning
Whenever you’re ready, mark each step as complete, you’re in control
Complete 90% of course steps and all of the assessments to earn your certificate

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