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11 produkter
11 produkter
E-bok
PDF, Engelska, 200927 128 kr
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This multi-volume reference work serves as a gateway to information on all aspects of very large databases. Over 1,400 alphabetically organized entries offer convenient access to basic terminology, concepts, methods, and algorithms. Definitions, key words, illustrations, applications, and a bibliography are provided for each entry. Cross-references throughout the encyclopedia enable readers to quickly jump to related materials. Topics were selected by a distinguished international advisory board and written by world class experts in the field. Co-editor Tamer Ozsu is a world renowned leader in the field. The Encyclopedia of Database Systems meets the needs of researchers, professors, and students in computer science and engineering.
Inbunden, Engelska, 1994
1 681 kr
Skickas inom 10-15 vardagar
"Distributed and Parallel Database Object Management" brings together in one place significant contributions and state-of-the-art research results in this rapidly advancing area of computer science. This study should serve as a useful reference, providing insights into some of the most important issues in the field.
E-bok
PDF, Engelska, 20111 320 kr
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This third edition of a classic textbook can be used to teach at the senior undergraduate and graduate levels. The material concentrates on fundamental theories as well as techniques and algorithms. The advent of the Internet and the World Wide Web, and, more recently, the emergence of cloud computing and streaming data applications, has forced a renewal of interest in distributed and parallel data management, while, at the same time, requiring a rethinking of some of the traditional techniques. This book covers the breadth and depth of this re-emerging field. The coverage consists of two parts. The first part discusses the fundamental principles of distributed data management and includes distribution design, data integration, distributed query processing and optimization, distributed transaction management, and replication. The second part focuses on more advanced topics and includes discussion of parallel database systems, distributed object management, peer-to-peer data management,web data management, data stream systems, and cloud computing. New in this Edition: • New chapters, covering database replication, database integration, multidatabase query processing, peer-to-peer data management, and web data management. • Coverage of emerging topics such as data streams and cloud computing • Extensive revisions and updates based on years of class testing and feedback Ancillary teaching materials are available.
E-bok
Engelska, 201889 610 kr
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This revised and expanded edition of Encyclopedia of Database Systems provides easy access to crucial concepts relevant to all aspects of very large databases, data management, and database systems, including areas of current interest and research results of historical significance. This comprehensive reference is organized alphabetically and each entry presents basic terminology, concepts, methods and algorithms, key results to date, references to the literature, and cross-references to other entries. Topics for the encyclopedia—including areas of current interest as well as research results of historical significance—were selected by a distinguished international advisory board and written by world-class experts in the field. New entries that reflect recent developments and technological advances in very large databases include: big data, big data technology, cloud computing, cloud data centers, business analytics, social networks, ranking, trust management, query over encrypted data, and more. Entirely new entries include database systems, relational database systems, databases, multimedia databases, bioinformatics, workflow systems, and web data management.
Encyclopedia of Database Systems, 2nd edition, is designed to meet the needs of researchers, professors, graduate and undergraduate students in computer science and engineering. Industry professionals, from database specialists to software developers, will also benefit from this valuable reference work.
Häftad, Engelska, 2017
910 kr
Skickas inom 5-8 vardagar
Inbunden, Engelska, 2017
1 129 kr
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E-bok
PDF, Engelska, 2019865 kr
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The fourth edition of this classic textbook provides major updates. This edition has completely new chapters on Big Data Platforms (distributed storage systems, MapReduce, Spark, data stream processing, graph analytics) and on NoSQL, NewSQL and polystore systems. It also includes an updated web data management chapter that includes RDF and semantic web discussion, an integrated database integration chapter focusing both on schema integration and querying over these systems. The peer-to-peer computing chapter has been updated with a discussion of blockchains. The chapters that describe classical distributed and parallel database technology have all been updated. The new edition covers the breadth and depth of the field from a modern viewpoint. Graduate students, as well as senior undergraduate students studying computer science and other related fields will use this book as a primary textbook. Researchers working in computer science will also find this textbook useful.This textbook has a companion web site that includes background information on relational database fundamentals, query processing, transaction management, and computer networks for those who might need this background. The web site also includes all the figures and presentation slides as well as solutions to exercises (restricted to instructors).
Häftad, Engelska, 2010
230 kr
Skickas inom 10-15 vardagar
Many applications process high volumes of streaming data, among them Internet traffic analysis, financial tickers, and transaction log mining. In general, a data stream is an unbounded data set that is produced incrementally over time, rather than being available in full before its processing begins. In this lecture, we give an overview of recent research in stream processing, ranging from answering simple queries on high-speed streams to loading real-time data feeds into a streaming warehouse for off-line analysis. We will discuss two types of systems for end-to-end stream processing: Data Stream Management Systems (DSMSs) and Streaming Data Warehouses (SDWs). A traditional database management system typically processes a stream of ad-hoc queries over relatively static data. In contrast, a DSMS evaluates static (long-running) queries on streaming data, making a single pass over the data and using limited working memory. In the first part of this lecture, we will discuss research problems in DSMSs, such as continuous query languages, non-blocking query operators that continually react to new data, and continuous query optimization. The second part covers SDWs, which combine the real-time response of a DSMS by loading new data as soon as they arrive with a data warehouse's ability to manage Terabytes of historical data on secondary storage. Table of Contents: Introduction / Data Stream Management Systems / Streaming Data Warehouses / Conclusions
E-bok
PDF, Engelska, 2022283 kr
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Many applications process high volumes of streaming data, among them Internet traffic analysis, financial tickers, and transaction log mining. In general, a data stream is an unbounded data set that is produced incrementally over time, rather than being available in full before its processing begins. In this lecture, we give an overview of recent research in stream processing, ranging from answering simple queries on high-speed streams to loading real-time data feeds into a streaming warehouse for off-line analysis. We will discuss two types of systems for end-to-end stream processing: Data Stream Management Systems (DSMSs) and Streaming Data Warehouses (SDWs). A traditional database management system typically processes a stream of ad-hoc queries over relatively static data. In contrast, a DSMS evaluates static (long-running) queries on streaming data, making a single pass over the data and using limited working memory. In the first part of this lecture, we will discuss research problems in DSMSs, such as continuous query languages, non-blocking query operators that continually react to new data, and continuous query optimization. The second part covers SDWs, which combine the real-time response of a DSMS by loading new data as soon as they arrive with a data warehouse''s ability to manage Terabytes of historical data on secondary storage. Table of Contents: Introduction / Data Stream Management Systems / Streaming Data Warehouses / Conclusions
Inbunden, Engelska, 1994
901 kr
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Object-oriented database management systems (OODBMS) are expected to serve advanced application domains such as engineering design, office information systems, imaging systems, and multimedia. This book, based on a NATO Advanced Research Workshop, covers all aspects of object-oriented database systems from design principles to implementation of prototypes. Topics covered include model concepts, query optimization, query languages, functional programming formalism, storage systems, transaction models, interoperability, distributed computing, rule languages, open architectures, hypermedia systems, and many others. Designers and developers will benefit from the comprehensive presentation of the various modules of such systems, while practitioners will find examples of implemented prototypes.
E-bok
PDF, Engelska, 2010708 kr
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This book constitutes the refereed proceedings of the workshops of the 11th International Conference on Web-Age Information Management, held in Jiuzhaigou, China, in July 2010.The 25 revised full papers are organized in topical sections on three workshops: the First International Workshop on Graph Database (IWGD 2010), the First International Workshop on Advanced Techniques on XML Data Management (XMLDM 2010), and the Second International Workshop on Web-Based Contents Management Technologies (WCMT 2010).