Download or read book Enterprise wide Data Modelling written by August-Wilhelm Scheer and published by . This book was released on 1989 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes modern methods for developing enterprise-wide information systems. The proven "Architecture of Integrated Informations Systems (ARIS)" is used as framework for the development of business process models for industrial companies. For the processes of logistics, product development, information and coordination the ARIS-architecture serves as basis for a description from the functional, organizational, data and process viewpoint. The developed reference models can be used right away to support the introduction of new organizational concepts through the employment of new information processing techniques. A wealth of graphical illustrations enhance the reader's understanding of the material. Examples from standard software systems (SAP/R3) demonstrate the book's down-to-earth practicality.

Download or read book Enterprise Integration Modeling written by Charles J. Petrie and published by MIT Press. This book was released on 1992 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of enterprise integration is the development of computer-based tools that facilitate coordination of work and information flow across organizational boundaries. These proceedings, the first on EI modeling technologies, provide a synthesis of the technical issues involved; describe the various approaches and where they overlap, complement, or conflict with each other; and identify problems and gaps in the current technologies that point to new research.The leading edge of a movement that began with computer-aided design/computer-aided manufacturing (CAD/CAM), EI now seeks to engage the development of computer-based tools to control not only manufacturing but the allied areas of materials supply, accounting, and inventory control. EI technology is pushing forward research in areas such as distributed AI, concurrent engineering, task coordination, human-computer interaction, and distributed planning and scheduling. These proceedings provide the first common technical ground for comparing, evaluating, or coordinating these efforts.Charles J. Petrie, Jr., is Senior Member of Technical Staff at MCC in Austin, Texas.Topics include: Computer Integrated Manufacturing. Open System Architecture Standards. The results of five workshops on EI modeling topics: Model Integration, Model/Application Namespace, Heterogeneous Execution Environments, Metrics and Methodologies, and Coordination Process Models.

Download or read book Developing High Quality Data Models written by Matthew West and published by Elsevier. This book was released on 2011-02-07 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book Strategy for Data Modelling written by M. Vetter and published by . This book was released on 1987-08-26 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design methodology proposed in this book lays down explicitly how to go about designing a data base, starting with the information that the organization uses and breaking that information down into a set of data records and relationships that can be used to build the actual data base which the organization is going to use. Carefully and systematically introduces fundamental principles to establishing data base design methodologies. For DP professionals such as data analysts, systems analysts, data base designers, data base administrators, and programmers. The volume pulls together the underlying concepts of data base design in a useful way for teaching purposes.

Download or read book The Enterprise Data Model written by Andy Graham and published by Koios Associates Limited. This book was released on 2012-05 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wouldn't it be great to understand all the data in your organisation? Just imagine being able to define, agree and manage information concepts that impact on business strategy? Then image that these information concepts can be linked to the physical database attributes that ultimately are used to create them. That's what this book is about. It focuses on the data model as the foundation for achieving this understanding. This book provides a framework for the enterprise data model, the business reasons behind it and the differences between conceptual, logical and physical data models. The question of how, and why, to use a data model artifact as part of the data governance toolkit for the whole enterprise is also addressed. This publication is not an in-depth manual on how to model data for a new database system or your next design project. It instead focuses at a level above these implementation projects and addresses the issues that organisations typical struggling with such as: * How do we provide a framework within which we can manage our data assets? * How do we develop applications that adhere to a set of data standards; without creating a nightmare of administration and governance that is both unwieldy and unusable? * How can we get business value from our enterprise data? Chapter headings are: * Chapter 1 - Introduction * Chapter 2 - Information and Data * Chapter 3 - Pillars of Value * Chapter 4 - An Overview of Data Modelling * Chapter 5 - Data Architecture * Chapter 6 - The Enterprise Data Model * Chapter 7 - Build the Model one Project at a Time * Chapter 8 - Master Data * Chapter 9 - Data Governance * Chapter 10 - The Enterprise Data Framework This 2nd edition revises the original text to add extra details around key areas such as the enterprise data model framework and the pillars of value. It also improves the quality of the original text.

Download or read book Strategy for Data Modelling written by Max Vetter and published by . This book was released on 1987-01-01 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Data Modeling Essentials written by Graeme Simsion and published by Elsevier. This book was released on 2004-12-03 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Modeling Essentials, Third Edition, covers the basics of data modeling while focusing on developing a facility in techniques, rather than a simple familiarization with "the rules". In order to enable students to apply the basics of data modeling to real models, the book addresses the realities of developing systems in real-world situations by assessing the merits of a variety of possible solutions as well as using language and diagramming methods that represent industry practice. This revised edition has been given significantly expanded coverage and reorganized for greater reader comprehension even as it retains its distinctive hallmarks of readability and usefulness. Beginning with the basics, the book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management. It includes an entirely new section discussing the development of logical and physical modeling, along with new material describing a powerful technique for model verification. It also provides an excellent resource for additional lectures and exercises. This text is the ideal reference for data modelers, data architects, database designers, DBAs, and systems analysts, as well as undergraduate and graduate-level students looking for a real-world perspective. Thorough coverage of the fundamentals and relevant theory Recognition and support for the creative side of the process Expanded coverage of applied data modeling includes new chapters on logical and physical database design New material describing a powerful technique for model verification Unique coverage of the practical and human aspects of modeling, such as working with business specialists, managing change, and resolving conflict

Download or read book Data Modeling for the Business written by Steve Hoberman and published by Technics Publications Llc. This book was released on 2009 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Did you ever try getting Business and IT to agree on the project scope for a new application? Or try getting the Sales & Marketing department to agree on the target audience? Or try bringing new team members up to speed on the hundreds of tables in your data warehouse -- without them dozing off? You can be the hero in each of these and hundreds of other scenarios by building a High-Level Data Model. The High-Level Data Model is a simplified view of our complex environment. It can be a powerful communication tool of the key concepts within our application development projects, business intelligence and master data management programs, and all enterprise and industry initiatives. Learn about the High-Level Data Model and master the techniques for building one, including a comprehensive ten-step approach. Know how to evaluate toolsets for building and storing your models. Practice exercises and walk through a case study to reinforce your modelling skills.

Download or read book Enterprise Wide Data Model EDM as a Basis for Integrated Information Systems written by August-Wilhelm Scheer and published by . This book was released on 1988 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Data Modeling Essentials written by Graeme C. Simsion and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Non Invasive Data Governance written by Robert S. Seiner and published by Technics Publications. This book was released on 2014-09-01 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how: • Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. • Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods. • Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives. • A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset. • Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve.

Download or read book The Data Model Resource Book written by Len Silverston and published by John Wiley & Sons. This book was released on 2011-03-21 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: This third volume of the best-selling "Data Model Resource Book" series revolutionizes the data modeling discipline by answering the question "How can you save significant time while improving the quality of any type of data modeling effort?" In contrast to the first two volumes, this new volume focuses on the fundamental, underlying patterns that affect over 50 percent of most data modeling efforts. These patterns can be used to considerably reduce modeling time and cost, to jump-start data modeling efforts, as standards and guidelines to increase data model consistency and quality, and as an objective source against which an enterprise can evaluate data models.

Download or read book Developing a Data Warehouse for the Healthcare Enterprise Lessons from the Trenches written by Bryan Bergeron and published by HIMSS. This book was released on 2013 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edition is a straightforward view of a clinical data warehouse development project, from Inception through Implementation and follow-up. Through first-hand experiences from Individuals charged with the Implementation, this book offers guidance and multiple perspectives on the data warehouse development process--from the Initial vision to system-wide release. The book provides valuable lessons learned during a data warehouse Implementation at King Faisal Specialist Hospital and Research Center (KFSH & RC) in Riyadh, Saudi Arabia, a large, modern, tertiary-care hospital with an IT environment that parallels a typical U.S. hospital.

Download or read book Enterprise Data Architecture How to navigate its landscape written by Dave Knifton and published by Paragon Publishing. This book was released on 2014-10-16 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you looking to make better use of data captured within your organisation or want to learn more about how Data Architecture can transform your operations? Answering these questions is at the very heart of Navigating the Data Architecture Landscape. By reading this book you will learn how to: Introduce or improve the Data Architecture function of your organisation Enhance your skills in this domain to deliver more from your data. You may be wondering how a book can do this if it knows nothing about where you are now, or where you want to be? It can, because by leveraging its principles you will discover how to create optimised potential routes to achieve your own Data Architectural objectives. Basic building blocks, concepts and models are defined, enabling you to create new or adapt existing frameworks appropriate for any data landscape. Practical tips and suggestions are also detailed throughout, helping you gain immediate improvements from the way you work and enhance the benefits your organisation can derive from its data. So if you are a Data Architect or deal with data in your organisation and want to learn how to transform the positive yield from its data, then this book is a must read for you! “David has been there and dealt with the issues, which is why this book is an outstanding resource for Data Architects and indeed anyone dealing with the serious challenges of an enterprise data landscape.” – Richard Rendell, Technical Services Director, AgeSmart “An essential read for anyone wishing to practically achieve more benefit from data for their organisation within today’s constraints.” – Reem Zahran - Director, Offering Development, IMS Health “This book provides a comprehensive set of tools enabling you to improve the business outcomes from your organisation’s use of data.” – Andrew Rowland, Global Head Database Engineering, UBS This book is an essential read for Data Architects or indeed anyone wanting to improve the benefit that their organisation can derive from its data usage. It does this by providing principles and models that are appropriate to use within any framework, or even the absence of one. The book is designed to be practical and contains many tips and suggestions as well as examples that can be used as the basis for the reader's own Data Architectural definitions. The breadth of the book covers contemporary themes for Data Architecture and the chapters include; Data Modelling, Enterprise Data Models, Data Governance, Master Data Management and Big Data

Download or read book Computer Integrated Manufacturing Iccim 91 Manufacturing Enterprises Of The 21st Century Proceedings Of The International Conference written by B S Lim and published by World Scientific. This book was released on 1991-10-02 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the 21st century, computer integrated manufacturing (CIM) systems will not only be the economic development tools but will also be the essential means of achieving a higher level of flexibility, cohesiveness and performance. CIM systems are beginning to settle into our society and industries, with greater emphasis on the integration of economic, cultural and social aspects together with design, planning, factory automation and artificial intelligent systems.This volume of proceedings brings together 10 keynote and invited speaker addresses, and over 180 papers by practitioners from 28 countries. It documents current research and in-depth studies on the fundamental aspects of advanced CIM systems and their practical applications. The papers fall into 3 main sections: CIM Related Issues; Industrial AI Applications Aspects; and Concurrent Engineering, Advanced Design, Simulation and Flexible Manufacturing Systems.

Download or read book Database and Expert Systems Applications written by Dimitris Karagiannis and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Database and Expert Systems Applications - DEXA - conferences are dedi cated to providing an international forum for the presentation of applications in the database and expert systems field, for the exchange of ideas and experiences, and for defining requirements for the future systems in these fields. After the very promising DEXA 90 in Vienna, Austria, we hope to have successfully established wjth this year's DEXA 91 a stage where scientists from diverse fields interested in application-oriented research can present and discuss their work. This year there was a total of more than 250 submitted papers from 28 different countries, in all continents. Only 98 of the papers could be accepted. The collection of papers in these proceedings offers a cross-section of the issues facing the area of databases and expert systems, i.e., topics of basic research interest on one hand and questions occurring when developing applications on the other. Major credit for the success of the conference goes to all of our colleagues who submitted papers for consideration and to those who have organized and chaired the panel sessions. Many persons contributed numerous hours to organize this conference. The names of most of them will appear on the following pages. In particular we wish to thank the Organization Committee Chairmen Johann Gordesch, A Min Tjoa, and Roland Wag ner, who also helped establishing the program. Special thanks also go to Gabriella Wagner and Anke Ruckert. Dimitris Karagiannis General Conference Chairman Contents Conference Committee.

Download or read book Enterprise Master Data Management written by Allen Dreibelbis and published by Pearson Education. This book was released on 2008-06-05 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Only Complete Technical Primer for MDM Planners, Architects, and Implementers Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management (MDM), organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments. Enterprise Master Data Management provides an authoritative, vendor-independent MDM technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decisionmakers. Written by the IBM ® data management innovators who are pioneering MDM, this book systematically introduces MDM’s key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA. Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere else—everything you need to establish a consistent, manageable set of master data, and use it for competitive advantage. Coverage includes How MDM and SOA complement each other Using the MDM Reference Architecture to position and design MDM solutions within an enterprise Assessing the value and risks to master data and applying the right security controls Using PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challenges Explaining MDM patterns as enablers to accelerate consistent MDM deployments Incorporating MDM solutions into existing IT landscapes via MDM Integration Blueprints Leveraging master data as an enterprise asset—bringing people, processes, and technology together with MDM and data governance Best practices in MDM deployment, including data warehouse and SAP integration