Knowledge Management In The Development Of Data Intensive Systems

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Knowledge Management in the Development of Data-Intensive Systems

Author : Ivan Mistrik,Matthias Galster,Bruce R. Maxim,Bedir Tekinerdogan
Publisher : CRC Press
Page : 342 pages
File Size : 51,8 Mb
Release : 2021-06-15
Category : Computers
ISBN : 9781000387414

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Knowledge Management in the Development of Data-Intensive Systems by Ivan Mistrik,Matthias Galster,Bruce R. Maxim,Bedir Tekinerdogan Pdf

Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new knowledge that extends and synthesizes existing knowledge. Knowledge Management in the Development of Data-Intensive Systems addresses new challenges arising from knowledge management in the development of data-intensive software systems. These challenges concern requirements, architectural design, detailed design, implementation and maintenance. The book covers the current state and future directions of knowledge management in development of data-intensive software systems. The book features both academic and industrial contributions which discuss the role software engineering can play for addressing challenges that confront developing, maintaining and evolving systems;data-intensive software systems of cloud and mobile services; and the scalability requirements they imply. The book features software engineering approaches that can efficiently deal with data-intensive systems as well as applications and use cases benefiting from data-intensive systems. Providing a comprehensive reference on the notion of data-intensive systems from a technical and non-technical perspective, the book focuses uniquely on software engineering and knowledge management in the design and maintenance of data-intensive systems. The book covers constructing, deploying, and maintaining high quality software products and software engineering in and for dynamic and flexible environments. This book provides a holistic guide for those who need to understand the impact of variability on all aspects of the software life cycle. It leverages practical experience and evidence to look ahead at the challenges faced by organizations in a fast-moving world with increasingly fast-changing customer requirements and expectations.

Designing Data-Intensive Applications

Author : Martin Kleppmann
Publisher : "O'Reilly Media, Inc."
Page : 658 pages
File Size : 46,9 Mb
Release : 2017-03-16
Category : Computers
ISBN : 9781491903100

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Designing Data-Intensive Applications by Martin Kleppmann Pdf

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures

Enterprise Knowledge Management

Author : David Loshin
Publisher : Morgan Kaufmann
Page : 516 pages
File Size : 47,7 Mb
Release : 2001
Category : Business & Economics
ISBN : 0124558402

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Enterprise Knowledge Management by David Loshin Pdf

This volume presents a methodology for defining, measuring and improving data quality. It lays out an economic framework for understanding the value of data quality, then outlines data quality rules and domain- and mapping-based approaches to consolidating enterprise knowledge.

Knowledge Management Systems

Author : Ronald Maier
Publisher : Springer Science & Business Media
Page : 670 pages
File Size : 54,6 Mb
Release : 2004-01-08
Category : Business & Economics
ISBN : 3540205470

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Knowledge Management Systems by Ronald Maier Pdf

Information and knowledge have fundamentally transformed the way businesses and social institutions work. Knowledge management promises concepts and instruments that help organizations to create an environment supportive of knowledge creation, sharing and application. Information and communication technologies (ICT) are often regarded as the enabler for knowledge management initiatives. The book presents an almost encyclopedic treatise of the facets, concepts and theories that have influenced knowledge management and the state of practice concerning strategy, organization, systems and economics. The second edition updates the material to cover the most recent developments in ICT-supported knowledge management. The book particularly provides a more in-depth coverage of its theoretical foundation including a new account of knowledge work, discusses the potentials and challenges of process-oriented knowledge management, adds a new chapter on modelling that plays an important role in knowledge management initiatives and contrasts architectures for centralized and distributed or peer-to-peer knowledge management systems.

Paradigms of Knowledge Management

Author : Krishna Nath Pandey
Publisher : Springer
Page : 241 pages
File Size : 43,7 Mb
Release : 2016-06-20
Category : Technology & Engineering
ISBN : 9788132227854

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Paradigms of Knowledge Management by Krishna Nath Pandey Pdf

This book has been written by studying the knowledge management implementation at POWERGRID India, one of the largest power distribution companies in the world. The patterns which have led to models, both hypothesized and data-enabled, have been provided. The book suggests ways and means to follow for knowledge management implementation, especially for organizations with multiple business verticals to follow. The book underlines that knowledge is both an entity and organizational asset which can be managed. A holistic view of knowledge management implementation has been provided. It also emphasizes the phenomenological importance of human resource parameters as compared to that of technological parameters. Various hypotheses have been tested to validate the significant models hypothesized. This work will prove useful to corporations, researchers, and independent professionals working to study or implement knowledge management paradigms.

Knowledge Management

Author : Irma Becerra-Fernandez
Publisher : M.E. Sharpe
Page : 370 pages
File Size : 40,7 Mb
Release : 2024-05-11
Category : Business & Economics
ISBN : 9780765628572

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Knowledge Management by Irma Becerra-Fernandez Pdf

This book serves as a complete introduction to the subject of Knowledge Management (KM), and incorporates technical as well as social aspects, concepts as well as practical examples, and traditional KM approaches as well as emerging topics. Knowledge Management: Systems and Processes enhances the conventional exposition of KM with an in-depth discussion of the technologies used to facilitate the management of knowledge in large and small organizations. This includes a complete description of the theory and applications of the various techniques and technologies currently in use to manage organizational knowledge. The discussion of technology is at a level appropriate for the typical business administration graduate student or corporate manager. Special features: * Includes case studies of actual implementations of KM systems, including details such as system architecture * Contains numerous vignettes describing practical applications of KM initiatives at leading firms and governmental organizations * Provides a balanced view of knowledge management, while incorporating benefits and controversial issues, and both technology and social aspects * Extremely current, making extensive use of latest developments in, and examples from, the field of KM * Written by two proficient and recognized researchers in the field of KM.

Knowledge Management and its Integrative Elements

Author : Jay Liebowitz,Lyle C. Wilcox
Publisher : CRC Press
Page : 224 pages
File Size : 44,9 Mb
Release : 1997-05-21
Category : Technology & Engineering
ISBN : 0849331161

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Knowledge Management and its Integrative Elements by Jay Liebowitz,Lyle C. Wilcox Pdf

Knowledge: In the realm of knowledge management, information plus wisdom equals knowledge. Organizations have found that the knowledge they contain can be one of their most important competitive weapons Definition: Knowledge management: The ability of an organization to manage, store, value, and distribute knowledge. Some organizations have created the position of Chief Knowledge Manager (CKM) to handle knowledge management responsibilities Many organizations fail to effectively manage and use the most important competitive edge they possess - their knowledge and "intellectual capital." This book covers the entire growing field of knowledge management, with particular emphasis on knowledge-based systems and their use in preserving knowledge in an organization, and integrating it across departments and disciplines. This hands-on guide shows how businesses and other organizations can re-engineer their processes using an applied knowledge-based approach. Each chapter introduces a different aspect of the field and demonstrates its application in actual case studies. Examples from industry, education, and government show the wide application of this exciting new field of study. The book also covers promising trends such as learning organizations, intelligent organizations, and enterprise management.

Knowledge Management Handbook

Author : Jay Liebowitz
Publisher : CRC Press
Page : 344 pages
File Size : 49,9 Mb
Release : 2012-06-25
Category : Business & Economics
ISBN : 9781040060155

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Knowledge Management Handbook by Jay Liebowitz Pdf

Recent research shows that collaboration and social networking foster knowledge sharing and innovation by sparking new connections, ideas, and practices. Yet these informal networks are often misunderstood and poorly managed. Building on the groundbreaking, bestselling first edition, Knowledge Management Handbook: Collaboration and Social Networkin

Web Warehousing and Knowledge Management

Author : Rob Mattison
Publisher : McGraw-Hill Companies
Page : 616 pages
File Size : 51,9 Mb
Release : 1999
Category : Business & Economics
ISBN : UOM:39015047484301

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Web Warehousing and Knowledge Management by Rob Mattison Pdf

This text explains the applications, architecture, and implementation issues of Web data warehousing. The book also features the tools that people use to find patterns within a database stored to the Internet which can be shared with suppliers.

Analytics and Knowledge Management

Author : Suliman Hawamdeh,Hsia-Ching Chang
Publisher : CRC Press
Page : 446 pages
File Size : 40,8 Mb
Release : 2018-08-06
Category : Computers
ISBN : 9781351807005

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Analytics and Knowledge Management by Suliman Hawamdeh,Hsia-Ching Chang Pdf

The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations. The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics. Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms.

Software Architecture for Big Data and the Cloud

Author : Ivan Mistrik,Rami Bahsoon,Nour Ali,Maritta Heisel,Bruce Maxim
Publisher : Morgan Kaufmann
Page : 470 pages
File Size : 45,8 Mb
Release : 2017-06-12
Category : Computers
ISBN : 9780128093382

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Software Architecture for Big Data and the Cloud by Ivan Mistrik,Rami Bahsoon,Nour Ali,Maritta Heisel,Bruce Maxim Pdf

Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors. Discusses systematic and disciplined approaches to building software architectures for cloud and big data with state-of-the-art methods and techniques Presents case studies involving enterprise, business, and government service deployment of big data applications Shares guidance on theory, frameworks, methodologies, and architecture for cloud and big data

Knowledge Management Systems

Author : Ronald Maier
Publisher : Springer Science & Business Media
Page : 720 pages
File Size : 51,7 Mb
Release : 2007-06-30
Category : Business & Economics
ISBN : 9783540714088

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Knowledge Management Systems by Ronald Maier Pdf

Knowledge management promises concepts and instruments that help organizations support knowledge creation, sharing and application. This book offers a comprehensive account of the many facets, concepts and theories that have influenced knowledge management and integrates them into a framework consisting of strategy, organization, systems and economics guiding the design of successful initiatives. The third edition extends coverage of the two pillars of implementing knowledge management initiatives, organization and systems.

Data Intensive Computing Applications for Big Data

Author : M. Mittal,V.E. Balas,D.J. Hemanth
Publisher : IOS Press
Page : 618 pages
File Size : 49,5 Mb
Release : 2018-01-31
Category : Computers
ISBN : 9781614998143

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Data Intensive Computing Applications for Big Data by M. Mittal,V.E. Balas,D.J. Hemanth Pdf

The book ‘Data Intensive Computing Applications for Big Data’ discusses the technical concepts of big data, data intensive computing through machine learning, soft computing and parallel computing paradigms. It brings together researchers to report their latest results or progress in the development of the above mentioned areas. Since there are few books on this specific subject, the editors aim to provide a common platform for researchers working in this area to exhibit their novel findings. The book is intended as a reference work for advanced undergraduates and graduate students, as well as multidisciplinary, interdisciplinary and transdisciplinary research workers and scientists on the subjects of big data and cloud/parallel and distributed computing, and explains didactically many of the core concepts of these approaches for practical applications. It is organized into 24 chapters providing a comprehensive overview of big data analysis using parallel computing and addresses the complete data science workflow in the cloud, as well as dealing with privacy issues and the challenges faced in a data-intensive cloud computing environment. The book explores both fundamental and high-level concepts, and will serve as a manual for those in the industry, while also helping beginners to understand the basic and advanced aspects of big data and cloud computing.

Economics-Driven Software Architecture

Author : Ivan Mistrik,Rami Bahsoon,Rick Kazman,Yuanyuan Zhang
Publisher : Elsevier
Page : 380 pages
File Size : 46,8 Mb
Release : 2014-06-03
Category : Computers
ISBN : 9780124105072

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Economics-Driven Software Architecture by Ivan Mistrik,Rami Bahsoon,Rick Kazman,Yuanyuan Zhang Pdf

Economics-driven Software Architecture presents a guide for engineers and architects who need to understand the economic impact of architecture design decisions: the long term and strategic viability, cost-effectiveness, and sustainability of applications and systems. Economics-driven software development can increase quality, productivity, and profitability, but comprehensive knowledge is needed to understand the architectural challenges involved in dealing with the development of large, architecturally challenging systems in an economic way. This book covers how to apply economic considerations during the software architecting activities of a project. Architecture-centric approaches to development and systematic evolution, where managing complexity, cost reduction, risk mitigation, evolvability, strategic planning and long-term value creation are among the major drivers for adopting such approaches. It assists the objective assessment of the lifetime costs and benefits of evolving systems, and the identification of legacy situations, where architecture or a component is indispensable but can no longer be evolved to meet changing needs at economic cost. Such consideration will form the scientific foundation for reasoning about the economics of nonfunctional requirements in the context of architectures and architecting. Familiarizes readers with essential considerations in economic-informed and value-driven software design and analysis Introduces techniques for making value-based software architecting decisions Provides readers a better understanding of the methods of economics-driven architecting

Managing Information Quality

Author : Martin J. Eppler
Publisher : Springer Science & Business Media
Page : 312 pages
File Size : 54,8 Mb
Release : 2013-06-05
Category : Business & Economics
ISBN : 9783540247821

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Managing Information Quality by Martin J. Eppler Pdf

What makes information useful? This seemingly simple and yet intriguing and complicated question is discussed in this book. It examines ways in which the quality of information can be improved in knowledge-intensive processes (such as on-line communication, strategy, product development, or consulting). Based on existing information quality literature, the book proposes a conceptual framework to manage information quality for knowledge-based content. It presents four proven principles to apply the framework to a variety of information products. Five in-depth company case studies show how information quality can be managed systematically. The book uses frequent diagrams and tables, as well as diagnostic questions and summary boxes to make its content actionable.