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
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Designing DataIntensive Applications The Big Ideas Behind
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
Designing Data-Intensive Applications by Martin Kleppmann: Used
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Designing Data-Intensive Applications: The Big Ideas Behind (Expedited shipping
This book is a valuable resource for anyone looking to learn about designing data-intensive applications. The book is illustrated and has 590+ pages, making it a detailed resource for learners at all levels, including beginners and advanced learners.
Designing Data-Intensive Applications by Martin Kleppmann (2017, Paperback)
The product is a paperback book titled “Designing Data-Intensive Applications” by Martin Kleppmann, published in 2017. It falls under the categories of Textbooks, Textbooks, Education & Reference, and Books & Magazines. There are some yellow highlighting in the pages.
Qbasic by Example
You are purchasing a Acceptable copy of ‘Qbasic by Example’. Expect visible wear—creases, notes, highlights, maybe even a splash of water here and there. Perfect for readers who love a book with history.
Qbasic by Example
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Economics USA
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Java: A Beginner’s Guide, Eighth Edition – Paperback By Schildt, Herbert – GOOD
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Java: A Beginner’s Guide, Eighth Edition – Paperback By Schildt, Herbert – GOOD
Notes: Item in good condition.