![]() ![]() With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Software keeps changing, but the fundamental principles remain the same. In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. ![]() They usually need to: Store data ( databases) Speed up reads ( caches) Search data ( search indexes) Send a message to another process asynchronously ( stream processing) Periodically crunch data ( batch processing) Reliability. Data is at the center of many challenges in system design today. A data-intensive application is typically built from standard building blocks. What are the right choices for your application? How do you make sense of all these buzzwords? Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (Unabridged) Martin Kleppmann 5.0 2 Ratings 27.99 Publisher Description Newly adapted for audiobook listeners. ![]() In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. Data is at the center of many challenges in system design today. ![]()
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