Event description
Organizations need a data strategy to succeed, but there’s no one-size fits all approach. Every organization will have unique objectives and obstacles. Join this event to learn how to modernize, unify, and innovate your way to a modern data strategy with AWS.
- Level: Fundamental
- Duration: 1.5 hours
Key topics covered
During this event, you will learn:
- How AWS services help you modernize, unify, and innovate your data infrastructure
- How to use AWS services to provide secure and well-governed access to data
- How to innovate with AI/ML by harnessing your data with built-in ML
Intended audience
This event is intended for:
- Data architects, data scientists, and data analysts new to the AWS Cloud
- Solutions architects
- Database administrators
Recommended follow-up training and resources
We recommend that attendees of this event continue learning with these:
Courses
Event outline
Section 1: Migration overview
- Business value of a modern data strategy
- Challenges
- Use cases
- Traditional vs. cloud
- Modern data strategy on AWS
Section 2: Modernize
- Relational databases
- Purpose-built databases
Section 3: Unify
- Data lakes with Amazon S3
- Lake house approach on AWS
- Purpose-built data services
- Breaking down data silos
- Unified governance
Section 4: Innovate
- Machine learning (ML) services
- Artificial intelligence (AI) services
- Data stores, data lakes, and BI tools with built-in ML
Section 5: Next steps
- Resources to continue learning
