دانلود کتاب الگوهای طراحی مهندسی داده

As a data engineer coming from the software engineering world, design patterns have always accompanied me on my journey. Adapter design pattern helped me write a backend with pluggable I/O abstractions, Template Method design pattern let me write an easily adaptable business logic, and thanks to the Builder design pattern, I could set up an easily maintainable unit tests layer. Having these great experiences in mind, I have been looking for similar standardized solutions since my first day in the data engineering space. Over time, in each new project, I found something that was similar to previous projects. By connecting these dots I first completed a list of data engineering patterns for cloud services.1 Meantime, I have been continuing to enrich my data engineering design patterns list, despite working on different business domains and with different technologies. That’s how, by summer 2023, I ended up with a quite solid list of data engineering design patterns that I included in the proposal for this book—which, since you are holding the book in your hands, was accepted. I hope the book will add a missing standardization piece each data engineer can rely on to identify a problem, its solution, and warning points, and I also hope it will help data engineers work with the data engineering tools of tomorrow.