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Data Engineering Best Practices

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

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Product type Paperback
Published in Oct 2024
Publisher Packt
ISBN-13 9781803244983
Length 550 pages
Edition 1st Edition
Languages
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Authors (2):
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David Larochelle David Larochelle
Author Profile Icon David Larochelle
David Larochelle
Richard J. Schiller Richard J. Schiller
Author Profile Icon Richard J. Schiller
Richard J. Schiller
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Toc

Table of Contents (21) Chapters Close

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 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:

All the aforementioned produce valuable current insights for professionals trying to navigate the rough waters of our current technology journey. Sometimes the future is charted by riding the various hype cycles through their ups and downs. But is there a better way? Can the elusive future be made clear and plainly communicated with minimal cost?

Every development journey, including the development of the data factory’s data pipelines, begins with preparation and knowing what to pack. The choices are driven by principles. Following the herd will not get you to where you want to go; rather, it will get you only to where the herd is headed. These principles will become the constitution governing your architectural design choices. They will be anchors for conversations and settling disputes that will arise. Some of the most successful people, companies, and project efforts are those that have clear guiding directions for what they want and do not let babble (or babblers) get in the way of success.

In order to remain grounded as you make progress, you will want to develop the organization’s IT principles and remain securely anchored in them as you develop the architecture and the data engineering designs that are derived from this architecture. Be practical about the principles you develop from what will appear in this chapter. Be careful with the wording of the principles because each carries huge implications for the downstream development effort. Begin with a primer, and do not assume everyone is on the same level of knowledge as you formalize your principles. Your constituents, stakeholders, and engineers may have been drinking a vendor’s Kool-Aid for years and can’t talk about technology if it threatens their limited knowledge. Expect them to be defensive! The following sections were written to provide you with the foundation that will be used to level-set others with the knowledge necessary to gain acceptance for your solution. Many links are provided for you to deep dive into the subject matter. If you remain open to innovation and closed to compromises to quality, fragile design, short-sightedness, and waste, clear principles will arise that withstand the test of time.

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