Data Model Patterns A Metadata Map

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Data Model Patterns A Metadata Map

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Author : David C. Hay
language : en
Publisher: Elsevier
Release Date : 2010-07-20

Data Model Patterns A Metadata Map written by David C. Hay and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-20 with Computers categories.

Data Model Patterns: A Metadata Map not only presents a conceptual model of a metadata repository but also demonstrates a true enterprise data model of the information technology industry itself. It provides a step-by-step description of the model and is organized so that different readers can benefit from different parts. It offers a view of the world being addressed by all the techniques, methods, and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.) and presents several concepts that need to be addressed by such tools. This book is pertinent, with companies and government agencies realizing that the data they use represent a significant corporate resource recognize the need to integrate data that has traditionally only been available from disparate sources. An important component of this integration is management of the "metadata" that describe, catalogue, and provide access to the various forms of underlying business data. The "metadata repository" is essential to keep track of the various physical components of these systems and their semantics. The book is ideal for data management professionals, data modeling and design professionals, and data warehouse and database repository designers. - A comprehensive work based on the Zachman Framework for information architecture—encompassing the Business Owner's, Architect's, and Designer's views, for all columns (data, activities, locations, people, timing, and motivation) - Provides a step-by-step description of model and is organized so that different readers can benefit from different parts - Provides a view of the world being addressed by all the techniques, methods and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.) - Presents many concepts that are not currently being addressed by such tools — and should be

Complex Systems In Knowledge Based Environments Theory Models And Applications

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Author : Andreas Tolk
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-01-17

Complex Systems In Knowledge Based Environments Theory Models And Applications written by Andreas Tolk and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-17 with Mathematics categories.

The tremendous growth in the availability of inexpensive computing power and easy availability of computers have generated tremendous interest in the design and imp- mentation of Complex Systems. Computer-based solutions offer great support in the design of Complex Systems. Furthermore, Complex Systems are becoming incre- ingly complex themselves. This research book comprises a selection of state-of-the-art contributions to topics dealing with Complex Systems in a Knowledge-based En- ronment. Complex systems are ubiquitous. Examples comprise, but are not limited to System of Systems, Service-oriented Approaches, Agent-based Systems, and Complex Distributed Virtual Systems. These are application domains that require knowledge of engineering and management methods and are beyond the scope of traditional systems. The chapters in this book deal with a selection of topics which range from unc- tainty representation, management and the use of ontological means which support and are large-scale business integration. All contributions were invited and are based on the recognition of the expertise of the contributing authors in the field. By colle- ing these sources together in one volume, the intention was to present a variety of tools to the reader to assist in both study and work. The second intention was to show how the different facets presented in the chapters are complementary and contribute towards this emerging discipline designed to aid in the analysis of complex systems.

Patterns Of Information Management

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Author : Mandy Chessell
language : en
Publisher: IBM Press
Release Date : 2013-05-02

Patterns Of Information Management written by Mandy Chessell and has been published by IBM Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-02 with Computers categories.

Use Best Practice Patterns to Understand and Architect Manageable, Efficient Information Supply Chains That Help You Leverage All Your Data and Knowledge In the era of “Big Data,” information pervades every aspect of the organization. Therefore, architecting and managing it is a multi-disciplinary task. Now, two pioneering IBM® architects present proven architecture patterns that fully reflect this reality. Using their pattern language, you can accurately characterize the information issues associated with your own systems, and design solutions that succeed over both the short- and long-term. Building on the analogy of a supply chain, Mandy Chessell and Harald C. Smith explain how information can be transformed, enriched, reconciled, redistributed, and utilized in even the most complex environments. Through a realistic, end-to-end case study, they help you blend overlapping information management, SOA, and BPM technologies that are often viewed as competitive. Using this book’s patterns, you can integrate all levels of your architecture–from holistic, enterprise, system-level views down to low-level design elements. You can fully address key non-functional requirements such as the amount, quality, and pace of incoming data. Above all, you can create an IT landscape that is coherent, interconnected, efficient, effective, and manageable. Coverage Includes Understanding how a pattern language can help you address key information management challenges Defining information strategy and governance for organizations and users Creating orderly information flows you can reuse and synchronize as needed Managing information structure, meaning, and lifecycles Providing for efficient information access and storage when deploying new IT capabilities Moving information efficiently and reliably to support your processes Determining how information should be processed and maintained Improving quality and accessibility, and supporting higher-value analytics Protecting information via validation, transformation, enrichment, correction, security, and monitoring Planning new information management projects in the context of your existing IT resources

The Self Service Data Roadmap

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Author : Sandeep Uttamchandani
language : en
Publisher: O'Reilly Media
Release Date : 2020-09-10

The Self Service Data Roadmap written by Sandeep Uttamchandani and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-10 with Computers categories.

Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data. With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service work. Build a self-service portal to support data discovery, quality, lineage, and governance Select the best approach for each self-service capability using open source cloud technologies Tailor self-service for the people, processes, and technology maturity of your data platform Implement capabilities to democratize data and reduce time to insight Scale your self-service portal to support a large number of users within your organization

Developing High Quality Data Models

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Author : Matthew West
language : en
Publisher: Elsevier
Release Date : 2011-02-07

Developing High Quality Data Models written by Matthew West and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-07 with Computers categories.

Developing High Quality Data Models provides an introduction to the key principles of data modeling. It explains the purpose of data models in both developing an Enterprise Architecture and in supporting Information Quality; common problems in data model development; and how to develop high quality data models, in particular conceptual, integration, and enterprise data models. The book is organized into four parts. Part 1 provides an overview of data models and data modeling including the basics of data model notation; types and uses of data models; and the place of data models in enterprise architecture. Part 2 introduces some general principles for data models, including principles for developing ontologically based data models; and applications of the principles for attributes, relationship types, and entity types. Part 3 presents an ontological framework for developing consistent data models. Part 4 provides the full data model that has been in development throughout the book. The model was created using Jotne EPM Technologys EDMVisualExpress data modeling tool. This book was designed for all types of modelers: from those who understand data modeling basics but are just starting to learn about data modeling in practice, through to experienced data modelers seeking to expand their knowledge and skills and solve some of the more challenging problems of data modeling. - Uses a number of common data model patterns to explain how to develop data models over a wide scope in a way that is consistent and of high quality - Offers generic data model templates that are reusable in many applications and are fundamental for developing more specific templates - Develops ideas for creating consistent approaches to high quality data models

Encyclopedia Of Software Engineering Three Volume Set Print

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Author : Phillip A. Laplante
language : en
Publisher: CRC Press
Release Date : 2010-11-22

Encyclopedia Of Software Engineering Three Volume Set Print written by Phillip A. Laplante and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-22 with Computers categories.

Software engineering requires specialized knowledge of a broad spectrum of topics, including the construction of software and the platforms, applications, and environments in which the software operates as well as an understanding of the people who build and use the software. Offering an authoritative perspective, the two volumes of the Encyclopedia of Software Engineering cover the entire multidisciplinary scope of this important field. More than 200 expert contributors and reviewers from industry and academia across 21 countries provide easy-to-read entries that cover software requirements, design, construction, testing, maintenance, configuration management, quality control, and software engineering management tools and methods. Editor Phillip A. Laplante uses the most universally recognized definition of the areas of relevance to software engineering, the Software Engineering Body of Knowledge (SWEBOK®), as a template for organizing the material. Also available in an electronic format, this encyclopedia supplies software engineering students, IT professionals, researchers, managers, and scholars with unrivaled coverage of the topics that encompass this ever-changing field. Also Available Online This Taylor & Francis encyclopedia is also available through online subscription, offering a variety of extra benefits for researchers, students, and librarians, including: Citation tracking and alerts Active reference linking Saved searches and marked lists HTML and PDF format options Contact Taylor and Francis for more information or to inquire about subscription options and print/online combination packages. US: (Tel) 1.888.318.2367; (E-mail) [email protected] International: (Tel) +44 (0) 20 7017 6062; (E-mail) [email protected]

Data Modeling Of Financial Derivatives

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Author : Robert Mamayev
language : en
Publisher: Apress
Release Date : 2014-02-28

Data Modeling Of Financial Derivatives written by Robert Mamayev and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-28 with Business & Economics categories.

Written in plain English and based on successful client engagements, Data Modeling of Financial Derivatives: A Conceptual Approach introduces new and veteran data modelers, financial analysts, and IT professionals to the fascinating world of financial derivatives. Covering futures, forwards, options, swaps, and forward rate agreements, finance and modeling expert Robert Mamayev shows you step-by-step how to structure and describe financial data using advanced data modeling techniques. The book introduces IT professionals, in particular, to various financial and data modeling concepts that they may not have seen before, giving them greater proficiency in the financial language of derivatives—and greater ability to communicate with financial analysts without fear or hesitation. Such knowledge will be especially useful to those looking to pick up the necessary skills to become productive right away working in the financial sector. Financial analysts reading this book will come to grips with various data modeling concepts and therefore be in better position to explain the underlying business to their IT audience. Data Modeling of Financial Derivatives—which presumes no advanced knowledge of derivatives or data modeling—will help you: Learn the best entity–relationship modeling method out there—Barker’s CASE methodology—and its application in the financial industry Understand how to identify and creatively reuse data modeling patterns Gain an understanding of financial derivatives and their various applications Learn how to model derivatives contracts and understand the reasoning behind certain design decisions Resolve derivatives data modeling complexities parsimoniously so that your clients can understand them intuitively Packed with numerous examples, diagrams, and techniques, this book will enable you to recognize the various design patterns that you aremost likely to encounter in your professional career and apply them successfully in practice. Anyone working with financial models will find it an invaluable tool and career booster.

Architecture And Patterns For It Service Management Resource Planning And Governance

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Author : Charles T. Betz
language : en
Publisher: Elsevier
Release Date : 2011-09-23

Architecture And Patterns For It Service Management Resource Planning And Governance written by Charles T. Betz and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-23 with Business & Economics categories.

IT in a World of Continuous Improvement -- Architecture Approach -- Patterns for the IT Processes -- Patterns for the IT Lifecycles -- APPENDIX A: Extended Definitions for the IT Architectural -- APPENDIX B: Fundamentals of Computing for the Business -- APPENDIX C: Production and Services -- REFERENCES -- INDEX.

Reference Modeling For Business Systems Analysis

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Author : Fettke, Peter
language : en
Publisher: IGI Global
Release Date : 2006-10-31

Reference Modeling For Business Systems Analysis written by Fettke, Peter and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-10-31 with Computers categories.

"This book provides insights into state-of-the-art modeling languages and methods used for reference modeling. A reference model provides a blueprint for information systems development and analysis. Well-established reference models for industrial, retail and other industries are described"--Provided by publisher.

Metadata For Information Management And Retrieval

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Author : David Haynes
language : en
Publisher: Facet Publishing
Release Date : 2018-01-09

Metadata For Information Management And Retrieval written by David Haynes and has been published by Facet Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-09 with Language Arts & Disciplines categories.

This new and updated second edition of a classic text provides a thought provoking introduction to metadata for all library and information students and professionals. Metadata for Information Management and Retrieval has been fully revised to bring it up to date with new technologies and standards. It builds on the concept of metadata through an exploration of its purposes and uses as well as considering the main aspects of metadata management. This new edition, containing new chapters on ‘Very Large Data Collections’ and the ‘Politics and Ethics of Metadata’, assesses the current theory and practice of metadata and examines key developments in terms of both policy and technology. Coverage includes: defining, describing and expressing metadatadata modellingmetadata and information retrievalbig data, linked data, and social mediaresearch data collections and open data repositoriesmetadata in information governance: compliance, risk and information securitymanaging intellectual property rightsthe politics of metadata: ethics, power and money. This book is essential reading for library and information students at undergraduate and postgraduate level and will also be useful reading for LIS professionals looking for an accessible introduction to metadata.