Stream Data Management (149 results)

Soft cover. Condition: Good. ORIGINAL 1992 PUBLICATION; ex-library; spine and front hinge reinforced with tape; o/w in good condition. Book.

Condition: New.

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.

Condition: New.

Condition: New. SUPER FAST SHIPPING.

Condition: New.

Condition: New. In.

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Condition: As New. Unread book in perfect condition.

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Brand new book. Fast ship. Please provide full street address as we are not able to ship toPOboxaddress.

Paperback. Condition: new. Paperback. Ein Lehrbuch zu neuen Konzepten der Regelungstechnik Bus-Approach und Antisystem-Approach (ASA), die bereits bei mehreren Projekten implementiert wurden.Die seit Jahrzehnten etablierten Wirkungsplaene von Regelkreisen sind im Buch durch bus-aehnliche Netzwerke ersetzt. Prinzipiell neue regelungstechnische Bausteine, wie ASA-Regler und so genannte Data Stream Manager (DSM), werden entwickelt. Es sind verschiedene DSM-Typen beschrieben und an Beispielen verdeutlicht (Router, Tuner, Koordinator usw.).Die theoretischen Grundlagen sind im Buch mit UEbungsaufgaben und MATLAB-Simulationen begleitet. Bei der Gestaltung von Loesungswegen sind auch die Beduerfnisse von dualen und berufsintegrierten Bachelor- und Master-Studiengaengen beruecksichtigt. Ein Lehrbuch zu neuen Konzepten der Regelungstechnik Bus-Approach und Antisystem-Approach (ASA), die bereits bei mehreren Projekten implementiert wurden.Die seit Jahrzehnten etablierten Wirkungsplaene von Regelkreisen sind im Buch durch bus-aehnliche Netzwerke ersetzt. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

LeatherBound. Condition: New. Leather Binding on Spine and Corners with Golden leaf printing on spine. Bound in genuine leather with Satin ribbon page markers and Spine with raised gilt bands. A perfect gift for your loved ones. Reprinted from 1978 edition. NO changes have been made to the original text. This is NOT a retyped or an ocr'd reprint. Illustrations, Index, if any, are included in black and white. Each page is checked manually before printing. As this print on demand book is reprinted from a very old book, there could be some missing or flawed pages, but we always try to make the book as complete as possible. Fold-outs, if any, are not part of the book. If the original book was published in multiple volumes then this reprint is of only one volume, not the whole set and contains approximately 8 pages. IF YOU WISH TO ORDER PARTICULAR VOLUME OR ALL THE VOLUMES YOU CAN CONTACT US. Resized as per current standards. Sewing binding for longer life, where the book block is actually sewn (smythe sewn/section sewn) with thread before binding which results in a more durable type of binding. Language: English.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Real-time data stream management is a critical challenge in today's data-driven world. This book presents quantum algorithms as a powerful approach to solving this problem. By harnessing the principles of quantum mechanics, researchers can develop more efficient and accurate models of data streams, identify patterns and anomalies, and make real-time decisions. The authors examine case studies of companies that have successfully implemented quantum algorithms for real-time data stream management, highlighting the benefits of increased efficiency, reduced latency, and improved decision-making. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. The exponential growth of data streams has created a pressing need for efficient and effective algorithms that can manage and analyze large volumes of data in real-time. 'Adaptive Algorithms for Real-Time Data Stream Management' provides a comprehensive guide to the latest developments in this field, exploring the design and implementation of adaptive algorithms that can adapt to changing data streams and provide real-time insights. By examining the theoretical foundations and practical applications of adaptive algorithms, this book offers a comprehensive understanding of the opportunities and challenges presented by real-time data stream management. From the development of novel algorithms to the deployment of adaptive analytics tools, 'Adaptive Algorithms for Real-Time Data Stream Management' offers a cutting-edge guide for researchers, engineers, and anyone interested in the future of data management. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. In today's fast-paced data-driven world, real-time data stream management is critical for making informed decisions. In 'Adaptive Algorithms for Real-Time Data Stream Management', you'll learn how to design and implement adaptive algorithms that can handle the complexities of real-time data streams. From traditional algorithms like batch processing to more advanced techniques like stream processing, this book covers the key concepts and techniques for managing real-time data streams. With a focus on practical application and real-world examples, this book provides a comprehensive guide to adaptive algorithms for real-time data stream management. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. Data Management in Real-Time Analytics using Stream Processing is a practical guide that shows readers how to manage data in real-time analytics using stream processing. This book provides a structured approach to designing and implementing stream processing solutions that use real-time data to drive business insights, inform decision making, and drive business growth. By leveraging the power of stream processing, readers can create real-time analytics solutions that are scalable, efficient, and highly effective. With a focus on real-world examples and case studies, this book equips readers with the knowledge and skills necessary to manage data in real-time analytics using stream processing. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. The increasing volume and velocity of data streams pose significant challenges for modern organizations. This book provides a comprehensive guide to real-time data stream management, covering the latest techniques and best practices for handling complex data flows. By exploring the latest advancements in data processing and analytics, readers will learn to develop effective strategies for managing data streams and extracting valuable insights. With a focus on practical applications, this book provides readers with the tools to navigate the complex world of real-time data streams and stay ahead of the curve. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

paperback. Condition: New. Language:Chinese.Data Stream Management System Design and Application: SAP ESP project combat Directory.

Softcover. Condition: New. Dust Jacket Condition: no dj. First. In the era of big data, the need for efficient and scalable data stream management has never been more pressing. Quantum Algorithms for Real-Time Data Stream Management presents a groundbreaking approach to tackling this challenge, leveraging the power of quantum computing to develop novel algorithms for real-time data processing. The author's in-depth exploration of quantum algorithms for data stream management reveals the potential for significant improvements in processing speed and efficiency, making it possible to analyze vast amounts of data in real-time. By applying the principles of quantum mechanics to data stream management, this book provides a new paradigm for data processing, with far-reaching implications for fields such as finance, healthcare, and cybersecurity. Through a series of technical case studies, the book demonstrates the feasibility and potential of quantum algorithms for real-time data stream management. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This manuscript provides a synthetic overview of research on data management in support of stream processing. It address all stages of the stream processing pipeline: data collection and in-transit processing at the edge, transfer towards the cloud processing sites, ingestion and persistent storage. First, the general context of stream data management is presented in light of the recent transition from Big to Fast Data. After highlighting the challenges at the data level associated with batch and real-time analytics, we introduce a subjective overview of proposals to address them. They bring solutions to the problems of in-transit stream storage and processing, fast data transfers, distributed metadata management, dynamic ingestion and transactional storage. The integration of these solutions into functional prototypes and the results of the large-scale experimental evaluations on clusters, clouds and supercomputers demonstrate their effectiveness for several real-life applications ranging from neuro-science to LHC nuclear physics. Finally, these contributions are put into the perspective of the High Performance Computing - Big Data convergence. 180 pp. Englisch.