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Author: Emmanuel J. Yannakoudakis Publisher: Springer Science & Business Media ISBN: 144711616X Category : Computers Languages : en Pages : 330
Book Description
If we look back to pre-database systems and the data units which were in use, we will establish a hierarchy starting with the concept of 'field' used to build 'records' which were in turn used to build higher data units such as 'files'. The file was considered to be the ultimate data unit of information processing and data binding 'monolith'. Moreover, pre database systems were designed with one or more programming languages in mind and this in effect restricted independent develop ment and modelling of the applications and associated storage structures. Database systems came along not to turn the above three units into outmoded concepts, but rather to extend them further by establishing a higher logical unit for data description and thereby offer high level data manipulation functions. It also becomes possible for computer professionals and other users to view all information processing needs of an organisation through an integrated, disciplined and methodical approach. So, database systems employ the concepts field, record and file without necessarily making them transparent to the user who is in effect offered a high level language to define data units and relation ships, and another language to manipulate these. A major objective of database systems is to allow logical manipulations to be carried out independent of storage manipulations and vice versa.
Author: Emmanuel J. Yannakoudakis Publisher: Springer Science & Business Media ISBN: 144711616X Category : Computers Languages : en Pages : 330
Book Description
If we look back to pre-database systems and the data units which were in use, we will establish a hierarchy starting with the concept of 'field' used to build 'records' which were in turn used to build higher data units such as 'files'. The file was considered to be the ultimate data unit of information processing and data binding 'monolith'. Moreover, pre database systems were designed with one or more programming languages in mind and this in effect restricted independent develop ment and modelling of the applications and associated storage structures. Database systems came along not to turn the above three units into outmoded concepts, but rather to extend them further by establishing a higher logical unit for data description and thereby offer high level data manipulation functions. It also becomes possible for computer professionals and other users to view all information processing needs of an organisation through an integrated, disciplined and methodical approach. So, database systems employ the concepts field, record and file without necessarily making them transparent to the user who is in effect offered a high level language to define data units and relation ships, and another language to manipulate these. A major objective of database systems is to allow logical manipulations to be carried out independent of storage manipulations and vice versa.
Author: Joseph M. Hellerstein Publisher: Now Publishers Inc ISBN: 1601980787 Category : Computers Languages : en Pages : 137
Book Description
Architecture of a Database System presents an architectural discussion of DBMS design principles, including process models, parallel architecture, storage system design, transaction system implementation, query processor and optimizer architectures, and typical shared components and utilities.
Author: Paolo Atzeni Publisher: ISBN: Category : Computers Languages : en Pages : 646
Book Description
Covers the important requirements of teaching databases with a modular and progressive perspective. This book can be used for a full course (or pair of courses), but its first half can be profitably used for a shorter course.
Author: Kam-Yiu Lam Publisher: Springer Science & Business Media ISBN: 030646988X Category : Computers Languages : en Pages : 289
Book Description
In recent years, tremendous research has been devoted to the design of database systems for real-time applications, called real-time database systems (RTDBS), where transactions are associated with deadlines on their completion times, and some of the data objects in the database are associated with temporal constraints on their validity. Examples of important applications of RTDBS include stock trading systems, navigation systems and computer integrated manufacturing. Different transaction scheduling algorithms and concurrency control protocols have been proposed to satisfy transaction timing data temporal constraints. Other design issues important to the performance of a RTDBS are buffer management, index accesses and I/O scheduling. Real-Time Database Systems: Architecture and Techniques summarizes important research results in this area, and serves as an excellent reference for practitioners, researchers and educators of real-time systems and database systems.
Author: Joseph M. Hellerstein Publisher: MIT Press ISBN: 9780262693141 Category : Computers Languages : en Pages : 884
Book Description
The latest edition of a popular text and reference on database research, with substantial new material and revision; covers classical literature and recent hot topics. Lessons from database research have been applied in academic fields ranging from bioinformatics to next-generation Internet architecture and in industrial uses including Web-based e-commerce and search engines. The core ideas in the field have become increasingly influential. This text provides both students and professionals with a grounding in database research and a technical context for understanding recent innovations in the field. The readings included treat the most important issues in the database area--the basic material for any DBMS professional. This fourth edition has been substantially updated and revised, with 21 of the 48 papers new to the edition, four of them published for the first time. Many of the sections have been newly organized, and each section includes a new or substantially revised introduction that discusses the context, motivation, and controversies in a particular area, placing it in the broader perspective of database research. Two introductory articles, never before published, provide an organized, current introduction to basic knowledge of the field; one discusses the history of data models and query languages and the other offers an architectural overview of a database system. The remaining articles range from the classical literature on database research to treatments of current hot topics, including a paper on search engine architecture and a paper on application servers, both written expressly for this edition. The result is a collection of papers that are seminal and also accessible to a reader who has a basic familiarity with database systems.
Author: Satish Mahadevan Srinivasan Publisher: CRC Press ISBN: 100085969X Category : Computers Languages : en Pages : 279
Book Description
What Every Engineer Should Know About Data-Driven Analytics provides a comprehensive introduction to the theoretical concepts and approaches of machine learning that are used in predictive data analytics. By introducing the theory and by providing practical applications, this text can be understood by every engineering discipline. It offers a detailed and focused treatment of the important machine learning approaches and concepts that can be exploited to build models to enable decision making in different domains. Utilizes practical examples from different disciplines and sectors within engineering and other related technical areas to demonstrate how to go from data, to insight, and to decision making Introduces various approaches to build models that exploits different algorithms Discusses predictive models that can be built through machine learning and used to mine patterns from large datasets Explores the augmentation of technical and mathematical materials with explanatory worked examples Includes a glossary, self-assessments, and worked-out practice exercises Written to be accessible to non-experts in the subject, this comprehensive introductory text is suitable for students, professionals, and researchers in engineering and data science.
Author: Zhamak Dehghani Publisher: "O'Reilly Media, Inc." ISBN: 1492092363 Category : Computers Languages : en Pages : 387
Book Description
Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and introduces a federated and computational model of data governance. This book shows you why and how. Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures Analyze the landscape's underlying characteristics and failure modes Get a complete introduction to data mesh principles and its constituents Learn how to design a data mesh architecture Move beyond a monolithic data lake to a distributed data mesh.
Author: S. K. Singh Publisher: Pearson Education India ISBN: 9788131760925 Category : Database design Languages : en Pages : 954
Book Description
The second edition of this bestselling title is a perfect blend of theoretical knowledge and practical application. It progresses gradually from basic to advance concepts in database management systems, with numerous solved exercises to make learning easier and interesting. New to this edition are discussions on more commercial database management systems.
Author: Helmut Schmidt Publisher: Springer Science & Business Media ISBN: 9783540537540 Category : Computers Languages : en Pages : 172
Book Description
The development of database technology has currently reached the stage of deductive database systems which use Horn clauses for defining relations. An important characteristic of these systems is the clear separation of logic and control. However, the programmer cannot affect the control part of a deductive database system. To eliminate this deficiency, this monograph presents a so-called expert deductive database system that allows explicit control of the deduction process. The system consists of an object-level describing the logical aspects of a problem and of a meta-level that contains application-specific control information affecting the object-level deduction process. For example, object-level rules can be disregarded, and some tuples deduced at the object-level can be preferred to others. Besides the architecture of this system, the book also identifies some important possibilities of deduction control which are explained by characteristic examples.
Author: Emmanuel J. Yannakoudakis
Author: Emmanuel J. Yannakoudakis
Author: Emmanuel J Yannakoudakis
Author: Joseph M. Hellerstein
Author: Paolo Atzeni
Author: Kam-Yiu Lam
Author: Joseph M. Hellerstein
Author: Satish Mahadevan Srinivasan
Author: Zhamak Dehghani
Author: S. K. Singh
Author: Helmut Schmidt