Databricks Data Engineering Mastery

$149

8-module course for data engineers: PySpark, Delta Lake, medallion architecture, pipeline orchestration, Unity Catalog, testing, CI/CD, and production operations. 40 hours of hands-on content.

📁 18 files🏷 v1.0.0

YAMLMarkdownDatabricksRedis

📁 File Structure 18 files

databricks-data-engineering-mastery/ ├── README.md ├── free-preview/ │ ├── cicd-data-pipelines-free.md │ ├── delta-lake-deep-dive-free.md │ ├── medallion-architecture-free.md │ ├── pipeline-orchestration-free.md │ ├── production-operations-free.md │ ├── pyspark-foundations-free.md │ ├── testing-data-quality-free.md │ └── unity-catalog-governance-free.md └── modules/ ├── cicd-data-pipelines.md ├── delta-lake-deep-dive.md ├── medallion-architecture.md ├── pipeline-orchestration.md ├── production-operations.md ├── pyspark-foundations.md ├── testing-data-quality.md └── unity-catalog-governance.md

📖 Documentation Preview README excerpt

Databricks Data Engineering Mastery

Thank you for purchasing this course from Datanest Academy!

Getting Started

1. Review course.yaml for the complete course outline, learning objectives, and prerequisites

2. Start with modules/module-01-*.md and progress through each module in order

3. Each module includes hands-on exercises, code examples, and production patterns

Course Structure

course.yaml — Complete course metadata, outline, and prerequisites
modules/ — 8 progressive modules (full premium content)
free-preview/ — Redacted preview versions (for sharing with colleagues)
assets/ — Supporting materials

Module Format

Each module contains:

Learning objectives
Concept explanations with real-world context
Production-ready code examples
Hands-on exercises
Key takeaways and review questions

Support

Questions? Email megafolder122122@hotmail.com

License

This course content is licensed for personal and organizational use only.

Redistribution is not permitted.

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