Build skills to achieve self-sustaining momentum
The AWS Data Flywheel is a comprehensive, five-stage approach for business and technology leaders designed
to help organizations get the most value from their data and drive innovation to remain competitive. Each of
the five stages requires specific skills. By breaking down the five stages and identifying corresponding courses,
we offer an actionable way for organizations to build the skills they need to put the flywheel to work.
Step 1. Break free of legacy databases Discover the value of moving from legacy databases, gain an
overview of different databases on AWS, and learn how to migrate a production database.
Step 2. Move to managed services Become familiar with the database migration process, discover
the process of designing databases, and learn strategies to perform migrations to AWS.
Step 3. Modernize your data warehouse Learn about implementing a data warehouse using Amazon
Redshift and discover cloud-based big data solutions.
Step 4. Build modern apps with purpose-built databases Explore how to use purpose-built databases
in the AWS Cloud. Discover how to interact with and leverage Amazon DynamoDB for serverless architectures.
Step 5. Turn data into insights Discover how to build data lakes on AWS, learn typical data science
processes, and become familiar with data visualization techniques.
