Menu

Item Tag: Design

Nonlinear and Adaptive Control Design by Kristic Kanellakopoulos Kokotovic

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.

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,

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 #L5

Explore the world of data-intensive applications with Martin Kleppmann's “Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems”. This textbook published by O'Reilly, Inc. in 2017 is a treasure trove for anyone interested in designing and developing data-intensive applications. With 614 pages of in-depth analysis and practical insights, this trade paperback provides a comprehensive understanding of the big ideas behind reliable, scalable, and maintainable systems. Whether you're a beginner or an experienced practitioner, this book will equip you with the necessary tools and knowledge to design data-intensive applications that meet your business needs.

Designing Data-Intensive Applications :- (Paperback)The Big Ideas Behind Reliabl

Product description All Indian Reprints of O’Reilly are printed in Grayscale. 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 About the author Martin Kleppmann is a researcher in distributed systems and security at the University of Cambridge, and author of Designing Data-Intensive Applications (O’Reilly Media, 2017). Previously he was a software engineer and entrepreneur at Internet companies including LinkedIn and Rapportive, where he worked on large-scale data infrastructure. He is now working on TRVE DATA, a project that aims to bring end-to-end encryption and decentralisation to a wide range of applications.