AWS Analytics and Data Engineering

Process and analyze data with Kinesis, Firehose, Glue, Athena, Redshift, and QuickSight.

Read these lessons in order. This page defines the Previous and Next navigation for the AWS Analytics and Data Engineering module.

Learning Path

1. Kinesis Data Streams
2. Kinesis Firehose
3. AWS Glue ETL
4. Athena with S3
5. Redshift Analytics
6. QuickSight Dashboards

How To Use This Module

1. Start with the first lesson and continue in order.
2. Build a small Spring Boot example for the major services in this section.
3. Add security, observability, cost, and operational checks before treating the design as production-ready.
4. Return to the AWS Cloud Learning Path when this module is complete.

Outcome

By the end of AWS Analytics and Data Engineering, you should understand the AWS services in this section, how they integrate with Spring Boot, and what must be validated for enterprise workloads.