Like new besides the name written on inside cover This textbook, titled Nonlinear and Adaptive Control Design, is a comprehensive guide for those interested in the subject of control design. Published in 1995 by Wiley & Sons, Incorporated, John, it has 592 pages and is written in English. The authors, Ioannis Kanellakopoulos, Miroslav Krstic, and Petar V. Kokotovic, are experts in the field and their book is a valuable resource for students and professionals alike. The book is part of the Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control Ser. series and falls under the category of Textbooks, Education & Reference. Measuring 9.3 inches in length, 6.1 inches in width, and 1.2 inches in height, the hardcover format is a great addition to any personal or professional library.
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Term: Design
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,.
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,.
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,.
Designing Data-Intensive Applications The Big Ideas Behind Reliable Scalable
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 : The Big Ideas Behind Reliable, Scalable,
Pretty much brand new book.
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,
Pretty much brand new book.
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,
Pretty much brand new book.
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,
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 mainteinability. In addition, we have an overwhelming variet 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 gjuide, 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.
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable,
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 mainteinability. In addition, we have an overwhelming variet 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 gjuide, 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.