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- Available on iOS & Android
Snowflake Data Engineering
About this book
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Information
Table of contents
- Snowflake Data Engineering
- copyright
- contents
- foreword
- preface
- acknowledgments
- about this book
- about the author
- about the cover illustration
- Part 1 Introducing data engineering with Snowflake
- 1 Data engineering with Snowflake
- 2 Creating your first data pipeline
- Part 2 Ingesting, transforming, and storing data
- 3 Best practices for data staging
- 4 Transforming data
- 5 Continuous data ingestion
- 6 Executing code natively with Snowpark
- 7 Augmenting data with outputs from large language models
- 8 Optimizing query performance
- 9 Controlling costs
- 10 Data governance and access control
- Part 3 Building data pipelines
- 11 Designing data pipelines
- 12 Ingesting data incrementally
- 13 Orchestrating data pipelines
- 14 Testing for data integrity and completeness
- 15 Data pipeline continuous integration
- appendix A Configuring your Snowflake environment
- appendix B Snowflake objects used in the examples
- index