Language | English |
---|---|
ISBN-10 | 9352135245 |
ISBN-13 | 9789352135240 |
No of pages | 590 |
Font Size | Medium |
Book Publisher | Oreilly |
Published Date | 01 Jan 2017 |
Martin is a versatile researcher, software developer, and entrepreneur. He is creative and thoughtful, more generalist than specialist. He enjoys:
• understanding complex systems and their trade-offs,
• teaching and explaining ideas through writing and speaking,
• solving hard technical problems,
• improving the practice of software development by developing the underlying theory,
• recognizing what customers and users want,
• designing and developing usable and beautiful user interfaces.
Martin’s book, “Designing Data-Intensive Applications”, was published in 2017 to widespread acclaim. It is a top-selling book in the field of databases and data processing; many readers say it is one of the best computing books they have ever read; and the Chief Technology Officer of Microsoft has called it “required reading for software engineers”.
Before he switched to academic research, Martin worked in industry and co-founded two successful startups:
• Rapportage, which shows social profiles for your contacts as you're emailing them, was acquired by LinkedIn in 2012.
• Go Test It, a service for automatically testing websites in different browsers, was acquired by Red Gate in 2009.
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Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. 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. Software keeps changing, but the fundamental principles remain the same. 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.
Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures