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Simplifying Data Engineering and Analytics with Delta
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Simplifying Data Engineering and Analytics with Delta
by Anindita Mahapatra, Doug May
Simplifying Data Engineering and Analytics with Delta
Simplifying Data Engineering and Analytics with Delta
Foreword
Contributors
About the author
About the reviewer
Preface
Section 1 – Introduction to Delta Lake and Data Engineering Principles
Chapter 1: Introduction to Data Engineering
Chapter 2: Data Modeling and ETL
Chapter 3: Delta – The Foundation Block for Big Data
Section 2 – End-to-End Process of Building Delta Pipelines
Chapter 4: Unifying Batch and Streaming with Delta
Chapter 5: Data Consolidation in Delta Lake
Chapter 6: Solving Common Data Pattern Scenarios with Delta
Chapter 7: Delta for Data Warehouse Use Cases
Chapter 8: Handling Atypical Data Scenarios with Delta
Chapter 9: Delta for Reproducible Machine Learning Pipelines
Chapter 10: Delta for Data Products and Services
Section 3 – Operationalizing and Productionalizing Delta Pipelines
Chapter 11: Operationalizing Data and ML Pipelines
Chapter 12: Optimizing Cost and Performance with Delta
Chapter 13: Managing Your Data Journey
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