Building Data Lakes on AWS
Build and automate AWS data lakes with ingestion, cataloging, processing, governance, query, and visualization services.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
SkillDynamo’s Building Data Lakes on AWS training develops practical, source-aligned skills for build and automate AWS data lakes with ingestion, cataloging, processing, governance, query, and visualization services.
The 8 Hours curriculum is independently rewritten into four structured lessons. Learners move from essential concepts to implementation, secure operations, troubleshooting, applied scenarios, and solution validation.
What You Will Learn
- Data lake concepts and value
- Data lakes versus data warehouses
- Amazon S3 data-lake storage
- Data ingestion patterns
- AWS Glue Data Catalog
- ETL and data preparation with AWS Glue
Training Approach
Instructor-guided explanations, AWS service mapping, practical configuration or design activities, scenario analysis, validation checklists, and a final improvement plan.
Curriculum
- 1 Section
- 4 Lessons
- 8 Hours
SkillDynamo Expert Team
SkillDynamo Expert Team
Instructor-led delivery focused on the source-aligned scope of Building Data Lakes on AWS, with practical AWS service mapping, scenarios, validation, and troubleshooting.
- Structured explanations and demonstrations
- Applied exercises and design reviews
- Course-specific validation and improvement guidance
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