Data Stream Management - Processing High-Speed Data Streams (Paperback, Softcover reprint of the original 1st ed. 2016)

This volume focuses on the theory and practice of data stream management, and the novel challenges this emerging domain poses for data-management algorithms, systems, and applications. The collection of chapters, contributed by authorities in the field, offers a comprehensive introduction to both the algorithmic/theoretical foundations of data streams, as well as the streaming systems and applications built in different domains. A short introductory chapter provides a brief summary of some basic data streaming concepts and models, and discusses the key elements of a generic stream query processing architecture. Subsequently, Part I focuses on basic streaming algorithms for some key analytics functions (e.g., quantiles, norms, join aggregates, heavy hitters) over streaming data. Part II then examines important techniques for basic stream mining tasks (e.g., clustering, classification, frequent itemsets). Part III discusses a number of advanced topics on stream processing algorithms, and Part IV focuses on system and language aspects of data stream processing with surveys of influential system prototypes and language designs. Part V then presents some representative applications of streaming techniques in different domains (e.g., network management, financial analytics). Finally, the volume concludes with an overview of current data streaming products and new application domains (e.g. cloud computing, big data analytics, and complex event processing), and a discussion of future directions in this exciting field. The book provides a comprehensive overview of core concepts and technological foundations, as well as various systems and applications, and is of particular interest to students, lecturers and researchers in the area of data stream management.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Data-Centric Systems and Applications
Release date:	June 2018
First published:	2016
Editors:	Minos Garofalakis • Johannes Gehrke • Rajeev Rastogi
Dimensions:	235 x 155 x 28mm (L x W x T)
Format:	Paperback
Pages:	537
Edition:	Softcover reprint of the original 1st ed. 2016
ISBN-13:	978-3-662-56837-8
Categories:	Books > Computing & IT > General theory of computing > General Books > Computing & IT > Computer software packages > General Books > Business & Economics > Industry & industrial studies > Media, information & communication industries > Information technology industries Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > General Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	3-662-56837-3
Barcode:	9783662568378

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