The ONLY course you need to PASS the AWS Certified Data Engineer Exam | Incl. FULL Practice Exam and Explanations
InstructorNikolai Schuler
The curriculum spans multiple categories including storage (S3), databases (DynamoDB, Redshift), and analytics services.
Instructional signals highlight the ability to break down complex topics into digestible, easy-to-follow parts.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This screenshot displays the AWS Glue Data Quality console, featuring a visual workflow for evaluating data quality alongside configuration options and rule results.
This slide explains AWS S3 storage concepts, highlighting that buckets are region-specific and objects are identified by unique user-assigned keys with visual examples.
This screen capture shows the Python implementation of a Lambda function designed to ingest data from Kinesis streams and store it in Amazon S3.
Changes to the AWS interface may result in discrepancies between course examples and the current live console. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
Practice questions may not fully reflect the complexity or style of the actual certification exam. One signal from January 2026 suggests a gap in depth, and while an update label is present, it does not prove these specific materials were revised.
The curriculum aligns with the target audience of aspiring data engineers through service-specific training.