Building Data Lakes on AWS

Amazon Web Services connects the design of a data lake with ingestion, cataloging and processing choices. Lake Formation provides a context for access and configuration. It is a platform-specific option for learners who want to understand how stored data becomes discoverable and usable within a broader architecture.

What you will learn

• Plan the components of an AWS data lake.
• Compare ingestion and transformation approaches.
• Explain cataloging and permission management.

Who this suits

Learners who have completed AWS Cloud Technical Essentials or equivalent preparation, following the provider’s recommendation.

Before you enroll

Check the software versions, cloud-account requirements and lab access terms before enrolling. Running cloud resources can incur separate charges. Use fictional or public sample data, and evaluate reliability, permissions and data quality alongside whether a pipeline runs.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Design a fictional data-lake layout and document who may discover, read and transform each dataset.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

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