Snowflake Data Engineering in Action
Chapter 1: Data Engineering with Snowflake
Chapter 2: Creating Your First Data Pipeline
Chapter 3: Best Practices for Data Staging
Chapter 4: Transforming Data
Chapter 5: Continuous Data Ingestion
Chapter 6: Executing Code Natively with Snowpark
Chapter 7: Augmenting Data with Outputs from Large Language Models
Chapter 8: Optimizing Query Performance
Chapter 9: Controlling Cost
Chapter 10: Data Governance and Access Control
Chapter 11: Designing Data Pipelines
Chapter 12: Ingesting Data Incrementally
Chapter 13: Orchestrating Data Pipelines
Chapter 14: Testing for Data Integrity and Completeness
Chapter 15: Data Pipeline Continuous Integration