To get the most out of this book
This book has been written at an intermediate level for data engineers, architects, and managers. There are no tools that you need on your desktop; however, if you want to become hands-on with the tools and technologies referenced, there will be short links (to the {https://packt-debp.link} domain) that are similar to traditional endnotes in each chapter. The journey toward best practices begins with the business context, the mission, vision, and principles that set the foundation for success, and then the development of an architecture. This is followed by engineering designs across a number of important areas driven by people, process, and technology needs.
As the book progresses, the technical topics get deeper, ending with machine learning, and GenAI with a practical look at how to tune LLMs with RAG and prompt engineering, and a good exploration of knowledge engineering.
