Distributed Object Oriented Data Systems Design
Download Distributed Object Oriented Data Systems Design PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Distributed Object Oriented Data Systems Design book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Distributed Object-oriented Data-systems Design
This guide deals with the design and implementation of advanced information systems. It covers object-oriented data management systems, distributed environments, and advanced user interfaces i.e. those integrating text, pictures, video and sound. This book also focuses on migration issues involved in going from relational database management systems to object-oriented database management issues, and discusses the advantages/disadvantages of both types of systems. The authors have developed a unique Frame-Object Analysis Methodology for advanced modelling. It also shows the reader what constitutes an advanced distributed information system and how to design and implement one. The handbook will benefit database analysts, database administrators, programmers and members of technical staff interested in data models. Andeleigh is the author of UNIX SYSTEM ARCHITECTURE.
Formal Description Techniques and Protocol Specification, Testing and Verification
FORTE/PSTV '97 addresses Formal Description Techniques (FDTs) applicable to Distributed Systems and Communication Protocols (such as Estelle, LOTOS, SDL, ASN.1, TTCN, Z, Automata, Process Algebra, Logic). The conference is a forum for presentation of the state-of-the-art in theory, application, tools and industrialization of FDTs, and provides an excellent orientation for newcomers.
Designing Data-Intensive Applications
Author: Martin Kleppmann
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2017-03-16
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