Stream Data Management (145 results)
Selected Papers in the Applied Computer Sciences 1992 (United States Geological Survey Bulletin 2016). INCLUDES: Integration of Geographic Information Systems and Expert Systems Technology for Resource Management; Machine Visualization of Synoptic Topography by Digital Image Processing; Development of a Ground-Water-Vulnerability Data Base for the Southeastern United States using GIS; Integrating & Aggregating Data from Stream-Drainage Systems using GIS; The Evolution of a Digital Geologic Coverage - From Paper to CD-ROM; Use of Automated Methods to Prepare a USGS Publication on Water Use in the U.S.
Miller, Betty M.; Richard J. Pike; Jerry W. Sorensen; David L. Lorenz; Walter J. Bawiec, David K. Traudt, Russel A. Ambroziak and Raymond E. Arndt; Howard A. Perlman.
Published by United States Government Printing Office. 1992
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Soft cover. Condition: Good. ORIGINAL 1992 PUBLICATION; ex-library; spine and front hinge reinforced with tape; o/w in good condition. Book.
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Published by Heidelberg, Springer. 2016
Series: Data-Centric Systems and Applications, Book 10 of 12. Book 10 of 12 - Data-Centric Systems and Applications
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537 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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Published by Springer 2023
Series: Management for Professionals, Book 278 of 339. Book 278 of 339 - Management for Professionals
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Published by Springer 2023-05-14 2023
Series: Management for Professionals, Book 278 of 339. Book 278 of 339 - Management for Professionals
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Published by Springer 2023
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Data Stream Management : Processing High-speed Data Streams
Garofalakis, Minos (EDT); Gehrke, Johannes (EDT); Rastogi, Rajeev (EDT)
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Published by Springer 2018
Series: Data-Centric Systems and Applications, Book 10 of 12. Book 10 of 12 - Data-Centric Systems and Applications
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Published by Springer 2016
Series: Data-Centric Systems and Applications, Book 10 of 12. Book 10 of 12 - Data-Centric Systems and Applications
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Data Stream Management : Processing High-speed Data Streams
Garofalakis, Minos (EDT); Gehrke, Johannes (EDT); Rastogi, Rajeev (EDT)
Language: English
Published by Springer 2018
Series: Data-Centric Systems and Applications, Book 10 of 12. Book 10 of 12 - Data-Centric Systems and Applications
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Published by Springer 2019
Series: SpringerBriefs in Computer Science, Book 285 of 322. Book 285 of 322 - SpringerBriefs in Computer Science
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Published by Springer 2019-01 2019
Series: SpringerBriefs in Computer Science, Book 285 of 322. Book 285 of 322 - SpringerBriefs in Computer Science
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Language: English
Published by Springer 2018
Series: Data-Centric Systems and Applications, Book 10 of 12. Book 10 of 12 - Data-Centric Systems and Applications
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Language: English
Published by Springer 2019
Series: SpringerBriefs in Computer Science, Book 285 of 322. Book 285 of 322 - SpringerBriefs in Computer Science
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