Understanding ETL
Data Science
Book Details
Book Title
Understanding ETL
Author
Matt Palmer
Publisher
O'Reilly Media, Inc
Publication Date
2024
ISBN
9781098159252
Number of Pages
181
Language
English
Format
File Size
1.4MB
Subject
Algorithms and Data Structures
Table of Contents
- Introduction
- The Brave New World of AI
- A Changing Data Landscape
- What About ELT (and Other Flavors)?
- O’Reilly Online Learning
- How to Contact Us
- Acknowledgments
- Chapter 1. Data Ingestion
- Data Ingestion—Now Versus Then
- Sources and Targets
- Ingestion Considerations
- Choosing a Solution
- Chapter 2. Data Transformation
- What Is Data Transformation?
- Building a Transformation Solution
- The Future of Data Transformation
- Chapter 3. Data Orchestration
- What Is Data Orchestration?
- Data Orchestration Tools
- Design Patterns and Best Practices
- The Future of Data Orchestration
- Chapter 4. Pipeline Issues and Troubleshooting
- Maintainability
- Monitoring and Benchmarking
- Errors
- Improving Workflows
- Chapter 5. Efficiency and Scalability
- Efficiency and Scalability Defined
- Understand Your Environment
- Process Efficiency
- Conclusion
- Conclusion
- About the Author