![Data Lake in AWS - Easiest Way to Learn [2025]](https://img-c.udemycdn.com/course/750x422/3054230_be93_4.jpg)
Data Lake Mastery: Hands-On Glue, Athena, S3, ETL, Spark, Parquet, QuickSight, Kinesis, Lambda, LLM
InstructorChandra LingamEditorial course preview
This view highlights a concrete, legible example from the course presentation.
A presentation slide titled Hands-on displays six labeled icons representing AWS services and data workflows such as Glue, Athena, and Spark.
Free
Coupon
The curriculum features diverse hands-on exercises, including S3 lifecycle management and a serverless sentiment analysis pipeline using Comprehend AI and Lambda.
One sampled review suggests that complex AWS services like Glue and Athena are broken down into manageable, step-by-step instructions that facilitate easier comprehension for new learners.
One signal suggests that certain datasets or UI elements may have changed since the original content was recorded, requiring learners to adapt independently. Note that this review predates the displayed update date; while the update label may have addressed these issues, it does not prove a correction.
The instruction focuses on service usage rather than providing deep architectural or theoretical insights into data lake principles. One signal indicates a lack of depth in these areas; however, this review predates the displayed update date, so the update label does not prove that the content has been expanded.
The curriculum aligns with beginner goals but may not meet the requirements of professionals seeking high-level technical depth.