You're reading from Data Engineering Best Practices Architect robust and cost-effective data solutions in the cloud era

Product type Paperback

Published in Oct 2024

Publisher Packt

ISBN-13 9781803244983

Length 550 pages

Edition 1st Edition

Languages

SQL

Tools

Google cloud SQL

Concepts

Data Engineering

Authors (2):

David Larochelle

Richard J. Schiller

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Table of Contents (21) Chapters

Preface

1. Chapter 1: Overview of the Business Problem Statement

2. Chapter 2: A Data Engineer’s Journey – Background Challenges FREE CHAPTER

3. Chapter 3: A Data Engineer’s Journey – IT’s Vision and Mission

4. Chapter 4: Architecture Principles

5. Chapter 5: Architecture Framework – Conceptual Architecture Best Practices

6. Chapter 6: Architecture Framework – Logical Architecture Best Practices

7. Chapter 7: Architecture Framework – Physical Architecture Best Practices

8. Chapter 8: Software Engineering Best Practice Considerations

9. Chapter 9: Key Considerations for Agile SDLC Best Practices

10. Chapter 10: Key Considerations for Quality Testing Best Practices

11. Chapter 11: Key Considerations for IT Operational Service Best Practices

12. Chapter 12: Key Considerations for Data Service Best Practices

13. Chapter 13: Key Considerations for Management Best Practices

14. Chapter 14: Key Considerations for Data Delivery Best Practices

15. Chapter 15: Other Considerations – Measures, Calculations, Restatements, and Data Science Best Practices

16. Chapter 16: Machine Learning Pipeline Best Practices and Processes

17. Chapter 17: Takeaway Summary – Putting It All Together

18. Chapter 18: Appendix and Use Cases

19. Index

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20. Other Books You May Enjoy

Architecture principles overview

The principles to be outlined next will give professionals a guiding light to make wise choices now that define future success. Research firms can be a good source for guidance, such as the following:

Gartner {https://packt-debp.link/lXFfHo}
Forrester {https://packt-debp.link/gEVSOD}
Bain & Company {https://packt-debp.link/pAnKim}
Frost & Sullivan {https://packt-debp.link/JrUuR0}
International Data Corporation (IDC) {https://packt-debp.link/D4PrBA}
451 Research (now owned by S&P) {https://packt-debp.link/KF6rkc}
Economist Intelligence Unit (EIU) {https://packt-debp.link/zy1quO}
Experts Exchange {https://packt-debp.link/GvVItH}
Omdia (was Ovum) {https://packt-debp.link/ZhkiPT}
Nucleus Research {https://packt-debp.link/Wsg8SG}
GigaOM {https://packt-debp.link/q1GLgK}
Lexis Nexis Research {https://packt-debp.link/30GcOM}
Olive Tree Insights {https://packt-debp.link/WX88AP}
Aberdeen...

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You're reading from Data Engineering Best Practices Architect robust and cost-effective data solutions in the cloud era

Table of Contents (21) Chapters

Architecture principles overview

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Authors (2)

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