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AWS Certified Data Engineer Associate 2025 – Hands On!
AWS Certified Data Engineer Associate 2025 - Hands On!
AWS DEA-C01 certification prep course with exercises and a full-length practice exam. Redshift, Glue, Athena, and more
Product Brand: Udemy
4.6
AWS Certified Data Engineer Associate 2025 – Hands On! Coupon Code. AWS DEA-C01 certification prep course with exercises and a full-length practice exam. Redshift, Glue, Athena, and more
Created by Stephane Maarek and Sundog Education by Frank Kane | 21.5 hours on-demand video course
AWS Certified Data Engineer Associate 2025 – Hands On!
AWS Certified Data Engineer Associate 2025 – Hands On! Course. The AWS Certified Data Engineer Associate Exam (DEA-C01 or DE1-C01) is one of the most challenging associate-level certification exams you can take from Amazon Web Services, and even among the most challenging overall. Passing it tells employers in no uncertain terms that your knowledge of data pipelines is wide and deep. But, even experienced technologists need to prepare heavily for this exam. This course sets you up for success, by covering all of the data ingestion, transformation, and orchestration technologies on the exam and how they fit together.
Best-selling Udemy instructors Frank Kane and Stéphane Maarek have teamed up to deliver the most comprehensive and hands-on prep course we’ve seen. Together, they’ve taught over 2 million people around the world. This course combines Stéphane’s depth on AWS with Frank’s experience in wrangling massive data sets, gleaned during his 9-year career at Amazon itself.
What you’ll learn
- Maximize your odds of passing the AWS Certified Data Engineer – Associate (DEA-C01) exam
- Design and implement data pipelines with AWS to ingest, store, and transform data
- Choose and design data stores, data models, data schemas, and data lifecycles.
- Maintain, operationalize, and orchestrate data pipelines with EventBridge, Airflow, AWS Step Functions,, and more
- Apply security, governance, and privacy best practices to your AWS data pipelines.
- Create data lakes with S3, Glue, Redshift and more
- Process batch and streaming data with Kinesis, EMR, containers, Lambda, and more
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Who this course is for:
- Technologists seeking certification in data engineering technologies on Amazon Web Services
