دانلود کتاب طراحی برنامه‌های کاربردی با حجم داده بالا

There are hundreds of databases to choose from. Which one should you use for your application? The short answer is, “It depends.” The long answer is…this book. Different technologies for storing and processing data make different trade-offs, and no one approach is best for all situations. The system that is a perfect fit for one application is badly suited to another. This book is a guide to the entire landscape of data systems, not just looking at one product, but comparing the strengths and weaknesses of many systems. Although the landscape of technologies for processing and storing data is diverse and fast-changing, the underlying principles endure. If you understand those principles, you’re in a position to see where each tool fits in, how to make good use of it, and how to avoid its pitfalls. This book focuses on those principles. While this book is not a tutorial for using one particular tool, it isn’t a textbook full of dry theory either. Instead, we will look at many examples of successful data systems: technologies that form the foundation of numerous popular applications and that have to meet scalability, performance, and reliability requirements in production every day. We will dig into the internals of those systems, tease apart their key algorithms, and discuss the trade-offs they have made. On this journey, we will try to find useful ways of thinking about data systems—not just how they work, but also why they work that way. After reading this book, you will be in a great position to determine which kinds of technologies are appropriate for which purposes and to understand how tools can be combined to form the foundation of a solid application architecture. You will develop a strong intuition for what your systems are doing under the hood so that you can reason about their behavior, make good design decisions, and track down any problems that may arise. The guiding philosophy of this book is to bring together a broad range of perspectives: both theoretical and practical, both recent and old. The computing industry tends to be attracted to things that are new and shiny and to look down on ideas that are considered old or academic. That is a mistake; many powerful, foundational ideas in computing arose from research, some recent, some decades ago. On the other hand, academia sometimes lacks a clear idea of what issues are important in practice. This book combines the best of both: academic precision and attention to detail with an industrial focus on practicality.