Introduction
How to read this book
Helpers
Part 1: Understanding DEH
Begin to Introduction
1. Analytics Platform
2. Data Architecture
Basic Skills
1. How Data Pipeline Structured
2. Data Processing Practices
3. Data Management Procedure
4. Big Data Engineering
5. Cloud System Understanding
6. Data Infrastructure & Automation
Recommended Books and Courses
Part 2: Dicing into DEH
Advanced Skills
1. Scaling
2. High-Availability and Disaster-Recovery
3. Large Data Handling
4. Data Engineering Layers
5. 1. Connecting
  2. Buffering
  3. Processing
  4. Storing
  5. Visualizing
6. Security Maintenance
7. Data Governance
Best Practices on Cloud
Data Camping
1. Week 1 - Infrastructure
3. Week 2 - Data Ingestion
4. 1. Ingesting with Airflow
  2. Customizing Airflow
5. Week 3 - Data Warehouse
6. 1. Snowflake 101
7. Week 4 - Analytics Engineering
8. 1. Building dbt
9. Week 5 - Batch Processing
10. 1. Impacting to Spark
11. Week 6 - Stream Processing
12. Week 7 - Data Quality
13. Week 8 - Data Automation
14. Week 9 - Capstone
Hands On
Mock Interview Questions
Part 3: Builing a Second Brain
Brain
Mapping of Contents
Changelog
Copyright

Copyright

All content in this Solid Foundations for Data Engineering, including but not limited to text, graphics, and code, is the property of Long Bui Van. Unauthorized use and/or duplication of this material without express and written permission from the author is strictly prohibited.

For permissions beyond the scope of this license, please contact the author directly at longdatadevlog.

Thank you for your consideration, Enjoy!

Data Engineering Handbook (DEH)

Copyright