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Introduction to Object-Oriented Databases provides the first unified and coherent presentation of the essential concepts and techniques of object-oriented databases. It consolidates the results of research and development in the semantics and implementation of a full spectrum of database facilities for object-oriented systems, including data model, query, authorization, schema evolution, storage structures, query optimization, transaction management, versions, composite objects, and integration of a programming language and a database system.The book draws on the author's Orion project at MCC, currently the most advanced object-oriented database system, and places this work in a larger context by using relational database systems and other object-oriented systems for comparison.Won Kim is Director of the Object-Oriented and Distributed Systems Laboratory at Microelectronics and Computer Technology Corporation (MCC) in Austin, Texas.Contents: Introduction. Data Model. Basic Interface. Relationships with Non-Object-Oriented Databases. Schema Modification. Model of Queries. Query Language. Authorization. Storage Structures. Query Processing. Transaction Management. Semantic Extensions. Integrating Object-Oriented Programming and Databases. Architecture. Survey of Object-Oriented Database Systems. Directions for Future Research and Development.
This book will help you make sense of the conflicting theories and vendor claims about object-oriented database systems."--BOOK JACKET.
Computer Science Workbench is a monograph series which will provide you with an in depth working knowledge of current developments in computer technology. Every volume in this series will deal with a topic of importance in computer science and elaborate on how you yourself can build systems related to the main theme. You will be able to develop a variety of systems, including computer software tools, computer graphics, computer animation, database management systems, and computer-aided design and manufacturing systems. Computer Science Workbench represents an important new contribution in the field of practical computer technology. Tosiyasu L. Kunii Preface The goal of this book is to give concrete answers to questions such as what object oriented databases are, why they are needed, how they are implemented, and how they are applied, by describing a research prototype object-oriented database system called Jasmine. That is, this book is aimed at creating a consistent view to object-oriented databases. The contents of this book are directly based on the results of the Jasmine project conducted at Fujitsu Laboratories, Ltd. The book is a polished version of my doctoral dissertation, which includes research papers which I have authored and published.
This well-received book, now in its third edition, is a comprehensive presentation of the fundamentals of object-oriented database systems (OODBMS). It provides extensive coverage of the different approaches to object data management, including the three major approaches--semantic database systems approach, object-oriented programming language extension approach, and the relational extension approach--as well as the various types of architectures of object-oriented database systems. The book discusses all recent developments in this field, such as the emergence of Java as the dominant object-oriented programming language--resulting in upcoming OODBMS products such as Ozone--and the provision of object-oriented database features in object-relational database systems (ORDBMS) products such as Oracle 9i and DB2. The new edition provides an extensive discussion of PostgreSQL, a popular open source object-oriented database system which has emerged as a viable alternative to expensive commercial database systems such as Oracle. The book is extensively illustrated, which enables students to develop a firm grasp of the underlying concepts. The chapter-end exercises help in testing the students' comprehension of the fundamental principles. The book is primarily meant for students of IT-related programmes having courses in database systems. Computer professionals will also find the book immensely useful.
Brings together key developments in OO databases from areas such as semantic modelling, formal data models, language design issues, object algebra and rule-based query languages. Shows how these elements may interact within an object-oriented database system.
Written by ODGM's C++ representative, this pragmatic guidebook is the first comprehensive introduction to programming object-oriented databases with OQL. It offers comparisons with SQL, with which readers are already familiar, as a bridge to understanding OQL and as a means of contrasting object-oriented versus relational database development.
Solve all big data problems by learning how to create efficient data models Key FeaturesCreate effective models that get the most out of big dataApply your knowledge to datasets from Twitter and weather data to learn big dataTackle different data modeling challenges with expert techniques presented in this bookBook Description Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements. To start with, you’ll get a quick introduction to big data and understand the different data modeling and data management platforms for big data. Then you’ll work with structured and semi-structured data with the help of real-life examples. Once you’ve got to grips with the basics, you’ll use the SQL Developer Data Modeler to create your own data models containing different file types such as CSV, XML, and JSON. You’ll also learn to create graph data models and explore data modeling with streaming data using real-world datasets. By the end of this book, you’ll be able to design and develop efficient data models for varying data sizes easily and efficiently. What you will learnGet insights into big data and discover various data modelsExplore conceptual, logical, and big data modelsUnderstand how to model data containing different file typesRun through data modeling with examples of Twitter, Bitcoin, IMDB and weather data modelingCreate data models such as Graph Data and Vector SpaceModel structured and unstructured data using Python and RWho this book is for This book is great for programmers, geologists, biologists, and every professional who deals with spatial data. If you want to learn how to handle GIS, GPS, and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful.
This monograph presents the fundamentals of object databases, with a specific focus on conceptual modeling of object database designs. After an introduction to the fundamental concepts of object-oriented data, the monograph provides a review of object-oriented conceptual modeling techniques using side-by-side Enhanced Entity Relationship diagrams and Unified Modeling Language conceptual class diagrams that feature class hierarchies with specialization constraints and object associations. These object-oriented conceptual models provide the basis for introducing case studies that illustrate the use of object features within the design of object-oriented and object-relational databases. For the object-oriented database perspective, the Object Data Management Group data definition language provides a portable, language-independent specification of an object schema, together with an SQL-like object query language. LINQ (Language INtegrated Query) is presented as a case study of an object query language together with its use in the db4o open-source object-oriented database. For the object-relational perspective, the object-relational features of the SQL standard are presented together with an accompanying case study of the object-relational features of Oracle. For completeness of coverage, an appendix provides a mapping of object-oriented conceptual designs to the relational model and its associated constraints."--P. [4] of cover.
A comprehensive introduction to object-oriented concepts as applied to databases and knowledge-based systems. The principles of semantic data modelling are described in depth and this is followed by a comprehensive description of the application of object-oriented techniques in this area. Separate chapters are devoted to implementation aspects such as persistence and concurrency.
Abstract data types; Inheritance; Object identity; C++. ADA; Object-oriented databases; User interfaces.