Data volumes are increasing at an unprecedented rate, exploding from terabytes to petabytes and sometimes exabytes of data. Traditional on-premises data analytics approaches can’t handle these data volumes because they don’t scale well enough and are too expensive. At the same time, data can be analysed to gain competitive insights, to support decision making and to train AI applications.

In this workshop led by an AWS Solution Architect, participants will learn about data architecture fundamentals and get deep hands-on experience with building an enterprise-grade data lake with a business intelligence frontend on AWS, using AWS analytics services such as Glue, Athena, Lake Formation, Kinesis and QuickSight.

Participants should have hands-on experience with AWS and bring an own laptop with AWS CLI installed. Sandbox AWS accounts for running workshop labs will be provided.