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Handbook on Data Management in Information Systems

Handbook on Data Management in Information Systems
Author: Jacek Blazewicz
Publisher: Springer Science & Business Media
Total Pages: 586
Release: 2012-12-06
Genre: Computers
ISBN: 3540247424
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The Handbook provides practitioners, scientists and graduate students with a good overview of basic notions, methods and techniques, as well as important issues and trends across the broad spectrum of data management. In particular, the book covers fundamental topics in the field such as distributed databases, parallel databases, advanced databases, object-oriented databases, advanced transaction management, workflow management, data warehousing, data mining, mobile computing, data integration and the Web. Summing up, the Handbook is a valuable source of information for academics and practitioners who are interested in learning the key ideas in the considered area.

Handbook of Management Information Systems

Handbook of Management Information Systems
Author: Hossein Bidgoli
Publisher:
Total Pages: 688
Release: 1999
Genre: Business & Economics
ISBN:
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This reference text explains the Internet and other global systems, the principles of system design and total quality management, strategic tools and technologies, and some emerging technologies of the late 1990s. Key terms lists, chapter outlines and review questions are included.

The Open Handbook of Linguistic Data Management

The Open Handbook of Linguistic Data Management
Author: Andrea L. Berez-Kroeker
Publisher: MIT Press
Total Pages: 687
Release: 2022-01-18
Genre: Language Arts & Disciplines
ISBN: 0262045265
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A guide to principles and methods for the management, archiving, sharing, and citing of linguistic research data, especially digital data. "Doing language science" depends on collecting, transcribing, annotating, analyzing, storing, and sharing linguistic research data. This volume offers a guide to linguistic data management, engaging with current trends toward the transformation of linguistics into a more data-driven and reproducible scientific endeavor. It offers both principles and methods, presenting the conceptual foundations of linguistic data management and a series of case studies, each of which demonstrates a concrete application of abstract principles in a current practice. In part 1, contributors bring together knowledge from information science, archiving, and data stewardship relevant to linguistic data management. Topics covered include implementation principles, archiving data, finding and using datasets, and the valuation of time and effort involved in data management. Part 2 presents snapshots of practices across various subfields, with each chapter presenting a unique data management project with generalizable guidance for researchers. The Open Handbook of Linguistic Data Management is an essential addition to the toolkit of every linguist, guiding researchers toward making their data FAIR: Findable, Accessible, Interoperable, and Reusable.

Information Systems Management in the Big Data Era

Information Systems Management in the Big Data Era
Author: Peter Lake
Publisher: Springer
Total Pages: 304
Release: 2015-01-12
Genre: Business & Economics
ISBN: 3319135031
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This timely text/reference explores the business and technical issues involved in the management of information systems in the era of big data and beyond. Topics and features: presents review questions and discussion topics in each chapter for classroom group work and individual research assignments; discusses the potential use of a variety of big data tools and techniques in a business environment, explaining how these can fit within an information systems strategy; reviews existing theories and practices in information systems, and explores their continued relevance in the era of big data; describes the key technologies involved in information systems in general and big data in particular, placing these technologies in an historic context; suggests areas for further research in this fast moving domain; equips readers with an understanding of the important aspects of a data scientist’s job; provides hands-on experience to further assist in the understanding of the technologies involved.

Computing Handbook, Third Edition

Computing Handbook, Third Edition
Author: Heikki Topi
Publisher: CRC Press
Total Pages: 1522
Release: 2014-05-14
Genre: Mathematics
ISBN: 1439898561
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Computing Handbook, Third Edition: Information Systems and Information Technology demonstrates the richness and breadth of the IS and IT disciplines. The second volume of this popular handbook explores their close links to the practice of using, managing, and developing IT-based solutions to advance the goals of modern organizational environments. Established leading experts and influential young researchers present introductions to the current status and future directions of research and give in-depth perspectives on the contributions of academic research to the practice of IS and IT development, use, and management Like the first volume, this second volume describes what occurs in research laboratories, educational institutions, and public and private organizations to advance the effective development and use of computers and computing in today’s world. Research-level survey articles provide deep insights into the computing discipline, enabling readers to understand the principles and practices that drive computing education, research, and development in the twenty-first century.

Handbook of Research on Innovations in Database Technologies and Applications

Handbook of Research on Innovations in Database Technologies and Applications
Author: Viviana E. Ferraggine
Publisher: IGI Global
Total Pages: 986
Release: 2009-01-01
Genre: Computers
ISBN: 1605662437
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"This book provides a wide compendium of references to topics in the field of the databases systems and applications"--Provided by publisher.

Handbook of Data Management 96/97 Yearbook

Handbook of Data Management 96/97 Yearbook
Author: Bhavani M. Thuraisingham
Publisher: Auerbach Publications
Total Pages: 440
Release: 1997-06
Genre: Business & Economics
ISBN: 9780791327722
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Management Information Systems

Management Information Systems
Author: Kenneth C. Laudon
Publisher: Pearson Educación
Total Pages: 618
Release: 2004
Genre: Business & Economics
ISBN: 9789702605287
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Management Information Systems provides comprehensive and integrative coverage of essential new technologies, information system applications, and their impact on business models and managerial decision-making in an exciting and interactive manner. The twelfth edition focuses on the major changes that have been made in information technology over the past two years, and includes new opening, closing, and Interactive Session cases.

Handbook of Data Management

Handbook of Data Management
Author: Sanjiv Purba
Publisher: CRC Press
Total Pages: 1101
Release: 2019-07-23
Genre: Computers
ISBN: 1351080938
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Packed with dozens of no-nonsense chapters written by leading professionals, Handbook of Data Management, 1999 Edition shows your students how to design, build, and maintain high-performance, high-availability databases in multiple environments. Handbook of Data Management, 1999 Edition is the most comprehensive, single-volume guide of its kind. The book provides the latest, most innovative solutions for planning, developing, and running a powerful data management function. Here students will find exhaustive coverage of the range of data repositories (from legacy indexed files to object data bases and data warehouses) as well as details on everything from strategic planning to maximizing database performance. Completely revised and updated to reflect latebreaking technologies, Handbook of Data Management, 1999 Edition includes extensive case studies and straightforward descriptions showing students how to: implement Web-enabled data warehouses build multimedia databases master data mining use enterprise database modeling stay up-to-date with data conversion and migration maximize OLAP architectures and tools Handbook of Data Management, 1999 Edition also provides ongoing coverage of the latest tools and techniques regarding: organization for quality information systems data definition database design and management object and hybrid databases and more Each contributor to Handbook of Data Management, 1999 Edition is an expert with first-hand experience in database and data management. These contributors provide a depth and breadth of coverage you and your students simply won't find anywhere else. Prepare your students for "real-world" business computing. Start them off with Handbook of Data Management, 1999 Edition.

DAMA-DMBOK

DAMA-DMBOK
Author: Dama International
Publisher:
Total Pages: 628
Release: 2017
Genre: Database management
ISBN: 9781634622349
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Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.