![]() ![]() ![]() ![]() What are the right choices for your application? How do you make sense of all these buzzwords? 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. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. In Chapter 2we compare several different data models and query languages, and see how they are appropriate to different situations. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. I have just published new educational materials that might be of interest to computing people: a new 8-lecture course on distributed systems, and a tutorial on elliptic curve cryptography. We start in Chapter 1by discussing what we’re actually trying to achieve: reliability, scalability, and maintainability how we need to think about them and how we can achieve them. %X Data is at the center of many challenges in system design today. %K 01841 103 safari book software development database architecture ![]()
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