Data Engineering with Apache Spark, Delta Lake, and Lakehouse

Table of Contents

1. The Story of Data Engineering and Analytics
2. Discovering Storage and Compute Data Lake Architectures
3. Data Engineering on Microsoft Azure
4. Understanding Data Pipelines
5. Data Collection Stage - The Bronze Layer
6. Understanding Delta Lake
7. Data Curation Stage - The Silver Layer
8. Data Aggregation Stage - The Gold Layer
9. Deploying and Monitoring Pipelines in Production
10. Solving Data Engineering Challenges
11. Infrastructure Provisioning
12. Continuous Integration and Deployment (CI/CD) of Data Pipelines