Book Content
chapters • 11h8m total length
1. An Introduction to Data Engineering
2. Data Modeling and ETL
3. Delta – The Foundation Block for Big Data
4. Unifying Batch and Streaming with Delta
5. Data Consolidation in Delta Lake
6. Solving Common Data Pattern Scenarios with Delta
7. Delta for Data Warehouse Use Cases
8. Handling Atypical Data Scenarios with Delta
9. Delta for Reproducible Machine Learning Pipelines
10. Delta for Data Products and Services
11. Operationalizing Data and ML Pipelines
12. Optimizing Cost and Performance with Delta
13. Managing Your Data Journey
