➔ What's New in AWS for Data Engineers: SageMaker Lakehouse, S3 Tables, and GenAI
Book: AWS Certified Data Engineer Associate Study Guide Authors: Sakti Mishra, Dylan Qu, Anusha Challa Publisher: O’Reilly Media ISBN: 978-1-098-17007-3
Chapter 10 is the forward-looking chapter. Everything in Chapters 1 through 9 was about established AWS services. This one covers what AWS announced at re:Invent 2024 and what’s coming next.
Some services are still in preview. Some just reached general availability. They may or may not show up on your DEA-C01 exam today. If you’re building data pipelines on AWS in 2025 and beyond though, you need to know where the platform is heading.
➔ AWS Auxiliary Services for Data Engineering: Compute, Storage, ML, and More
Previous: AWS Analytics Services
Book: AWS Certified Data Engineer Associate Study Guide Authors: Sakti Mishra, Dylan Qu, Anusha Challa Publisher: O’Reilly Media ISBN: 978-1-098-17007-3
Chapter 3 Part 1 covered the core analytics services: Kinesis, Glue, Redshift, Athena, and friends. Those services don’t exist in a vacuum though. They need compute to run on, databases to pull data from, storage to land results, networking to keep things secure, and monitoring to know when something breaks.