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Join this event to learn how to modernize, unify, and innovate your way to a modern data strategy with AWS.
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.
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
This event is intended for:
Data architects, data scientists, and data analysts new to the AWS Cloud
Solutions architects
Database administrators
Section 1: Introduction
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
We recommend that attendees of this event continue learning with these:
Courses
Building Data Analytics Solutions Using Amazon Redshift
Building Batch Analytics Solutions on AWS
Building Streaming Analytics Solutions on AWS
Building Data Lakes on AWS
Data Warehousing on AWS
Planning and Designing Databases on AWS
Resources
AWS Ramp-Up Guide: Data Analytics
AWS Ramp-Up Guide: Databases