Data Modeling Essentials

Data Modeling Essentials

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.

Author: Graeme Simsion

Publisher: Elsevier

ISBN: 0080488676

Category: Computers

Page: 560

View: 167

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.
Categories: Computers

Data Modeling Essentials

Data Modeling Essentials

Data Modeling Essentials is a comprehensive guide to data modeling for commercial information systems. Data modeling is presented as a design activity which offers opportunities for creativity and innovation.

Author: Graeme C. Simsion

Publisher: Itp - Media

ISBN: 1850328773

Category: Computers

Page: 310

View: 168

Data Modeling Essentials is a comprehensive guide to data modeling for commercial information systems. Data modeling is presented as a design activity which offers opportunities for creativity and innovation.
Categories: Computers

Data Modeling Fundamentals

Data Modeling Fundamentals

The purpose of this book is to provide a practical approach for IT professionals to acquire the necessary knowledge and expertise in data modeling to function effectively.

Author: Paulraj Ponniah

Publisher: John Wiley & Sons

ISBN: 0470141018

Category: Computers

Page: 464

View: 928

The purpose of this book is to provide a practical approach for IT professionals to acquire the necessary knowledge and expertise in data modeling to function effectively. It begins with an overview of basic data modeling concepts, introduces the methods and techniques, provides a comprehensive case study to present the details of the data model components, covers the implementation of the data model with emphasis on quality components, and concludes with a presentation of a realistic approach to data modeling. It clearly describes how a generic data model is created to represent truly the enterprise information requirements.
Categories: Computers

Data Modeling Essentials

Data Modeling Essentials

Beginning with the basics, this book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design.

Author: Graeme C. Simsion

Publisher:

ISBN: OCLC:489194795

Category: Data structures (Computer science)

Page:

View: 887

Categories: Data structures (Computer science)

Data Modeling for Quality

Data Modeling for Quality

This book is for all data modelers, data architects, and database designers―be they novices who want to learn what’s involved in data modeling, or experienced modelers who want to brush up their skills.

Author: Graham Witt

Publisher: Technics Publications

ISBN: 9781634629157

Category: Computers

Page: 304

View: 216

This book is for all data modelers, data architects, and database designers―be they novices who want to learn what’s involved in data modeling, or experienced modelers who want to brush up their skills. A novice will not only gain an overview of data modeling, they will also learn how to follow the data modeling process, including the activities required for each step. The experienced practitioner will discover (or rediscover) techniques to ensure that data models accurately reflect business requirements. This book describes rigorous yet easily implemented approaches to: · modeling of business information requirements for review by business stakeholders before development of the logical data model · normalizing data, based on simple questions rather than the formal definitions which many modelers find intimidating · naming and defining concepts and attributes · modeling of time-variant data · documenting business rules governing both the real world and data · data modeling in an Agile project · managing data model change in any type of project · transforming a business information model to a logical data model against which developers can code · implementing the logical data model in a traditional relational DBMS, an SQL:2003-compliant DBMS, an object-relational DBMS, or in XML. Part 1 describes business information models in-depth, including: · the importance of modeling business information requirements before embarking on a logical data model · business concepts (entity classes) · attributes of business concepts · attribute classes as an alternative to DBMS data types · relationships between business concepts · time-variant data · generalization and specialization of business concepts · naming and defining the components of the business information model · business rules governing data, including a distinction between real-world rules and data rules. Part 2 journeys from requirements to a working data resource, covering: · sourcing data requirements · developing the business information model · communicating it to business stakeholders for review, both as diagrams and verbally · managing data model change · transforming the business information model into a logical data model of stored data for implementation in a relational or object-relational DBMS · attribute value representation and data constraints (important but often overlooked) · modeling data vault, dimensional and XML data.
Categories: Computers

Data Modeling Essentials

Data Modeling Essentials

This essential guide focuses on data quality and why the data model is so important, plus includes essential material on developing a real model, and covers organization of the modeling task and managing compromises.

Author: Graeme C. Simsion

Publisher: Coriolis Group

ISBN: UOM:39076002088461

Category: Computers

Page: 459

View: 976

This essential guide focuses on data quality and why the data model is so important, plus includes essential material on developing a real model, and covers organization of the modeling task and managing compromises.
Categories: Computers

Data Modeling Essentials the Morgan Kaufmann Series in Data Management Systems

Data Modeling Essentials  the Morgan Kaufmann Series in Data Management Systems

This succinct and enlightening overview is a required reading for advanced graduate-level students. We hope you find this book useful in shaping your future career.

Author: Ellie C. Bray

Publisher: CreateSpace

ISBN: 1516865189

Category:

Page: 184

View: 765

Thought-provoking and accessible in approach, this updated and expanded second edition of the Data Modeling Essentials (The Morgan Kaufmann Series in Data Management Systems provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for advanced graduate-level students. We hope you find this book useful in shaping your future career. Feel free to send us your enquiries related to our publications to [email protected] Rise Press
Categories:

Data Modeling for Quality

Data Modeling for Quality

This book is for all data modelers, data architects, and database designers―be they novices who want to learn whats involved in data modeling, or experienced modelers who want to brush up their skills.

Author: Graham Witt

Publisher: Technics Publications

ISBN: 1634629132

Category:

Page: 304

View: 424

This book is for all data modelers, data architects, and database designers―be they novices who want to learn what's involved in data modeling, or experienced modelers who want to brush up their skills. A novice will not only gain an overview of data modeling, they will also learn how to follow the data modeling process, including the activities required for each step. The experienced practitioner will discover (or rediscover) techniques to ensure that data models accurately reflect business requirements. This book describes rigorous yet easily implemented approaches to: modeling of business information requirements for review by business stakeholders before development of the logical data model normalizing data, based on simple questions rather than the formal definitions which many modelers find intimidating naming and defining concepts and attributes modeling of time-variant data documenting business rules governing both the real world and data data modeling in an Agile project managing data model change in any type of project transforming a business information model to a logical data model against which developers can code implementing the logical data model in a traditional relational DBMS, an SQL:2003-compliant DBMS, an object-relational DBMS, or in XML. Part 1 describes business information models in-depth, including: the importance of modeling business information requirements before embarking on a logical data model business concepts (entity classes) attributes of business concepts attribute classes as an alternative to DBMS data types relationships between business concepts time-variant data generalization and specialization of business concepts naming and defining the components of the business information model business rules governing data, including a distinction between real-world rules and data rules. Part 2 journeys from requirements to a working data resource, covering: sourcing data requirements developing the business information model communicating it to business stakeholders for review, both as diagrams and verbally managing data model change transforming the business information model into a logical data model of stored data for implementation in a relational or object-relational DBMS attribute value representation and data constraints (important but often overlooked) modeling data vault, dimensional and XML data.
Categories:

The Data Model Resource Book

The Data Model Resource Book

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 ...

Author: Len Silverston

Publisher: John Wiley & Sons

ISBN: 9780470178454

Category: Computers

Page: 648

View: 494

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. Praise for The Data Model Resource Book, Volume 3 "Len and Paul look beneath the superficial issues of data modeling and have produced a work that is a must for every serious designer and manager of an IT project." —Bill Inmon, World-renowned expert, speaker, and author on data warehousing and widely recognized as the "father of data warehousing" "The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling is a great source for reusable patterns you can use to save a tremendous amount of time, effort, and cost on any data modeling effort. Len Silverston and Paul Agnewhave provided an indispensable reference of very high-quality patterns for the most foundational types of datamodel structures. This book represents a revolutionary leap in moving the data modeling profession forward." —Ron Powell, Cofounder and Editorial Director of the Business Intelligence Network "After we model a Customer, Product, or Order, there is still more about each of these that remains to be captured, such as roles they play, classifications in which they belong, or states in which they change. The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling clearly illustrates these common structures. Len Silverston and Paul Agnew have created a valuable addition to our field, allowing us to improve the consistency and quality of our models by leveraging the many common structures within this text." —Steve Hoberman, Best-Selling Author of Data Modeling Made Simple "The large national health insurance company I work at has actively used these data patterns and the (Universal Data Models) UDM, ahead of this book, through Len Silverston's UDM Jump Start engagement. The patterns have found their way into the core of our Enterprise Information Model, our data warehouse designs, and progressively into key business function databases. We are getting to reuse the patterns across projects and are reaping benefits in understanding, flexibility, and time-to-market. Thanks so much." —David Chasteen, Enterprise Information Architect "Reusing proven data modeling design patterns means exactly that. Data models become stable, but remain very flexible to accommodate changes. We have had the fortune of having Len and Paul share the patterns that are described in this book via our engagements with Universal Data Models, LLC. These data modeling design patterns have helped us to focus on the essential business issues because we have leveraged these reusable building blocks for many of the standard design problems. These design patterns have also helped us to evaluate the quality of data models for their intended purpose. Many times there are a lot of enhancements required. Too often the very specialized business-oriented data model is also implemented physically. This may have significant drawbacks to flexibility. I'm looking forward to increasing the data modeling design pattern competence within Nokia with the help of this book." —Teemu Mattelmaki, Chief Information Architect, Nokia "Once again, Len Silverston, this time together with Paul Agnew, has made a valuable contribution to the body of knowledge about datamodels, and the act of building sound data models. As a professional d
Categories: Computers

Data Modeling Theory and Practice

Data Modeling Theory and Practice

Graeme Simsion brings to the book the practical perspective and intellectual clarity that have made his Data Modeling Essentials a classic in the field.

Author: Graeme Simsion

Publisher: Technics Publications

ISBN: 9781634620734

Category: Computers

Page: 414

View: 753

Data Modeling Theory and Practice is for practitioners and academics who have learned the conventions and rules of data modeling and are looking for a deeper understanding of the discipline. The coverage of theory includes a detailed review of the extensive literature on data modeling and logical database design, referencing nearly 500 publications, with a strong focus on their relevance to practice. The practice component incorporates the largest-ever study of data modeling practitioners, involving over 450 participants in interviews, surveys and data modeling tasks. The results challenge many long-held assumptions about data modeling and will be of interest to academics and practitioners alike. Graeme Simsion brings to the book the practical perspective and intellectual clarity that have made his Data Modeling Essentials a classic in the field. He begins with a question about the nature of data modeling (design or description), and uses it to illuminate such issues as the definition of data modeling, its philosophical underpinnings, inputs and deliverables, the necessary behaviors and skills, the role of creativity, product diversity, quality measures, personal styles, and the differences between experts and novices. Data Modeling Theory and Practice is essential reading for anyone involved in data modeling practice, research, or teaching.
Categories: Computers

Data Modeling A Complete Guide 2019 Edition

Data Modeling A Complete Guide   2019 Edition

You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in.

Author: Gerardus Blokdyk

Publisher: 5starcooks

ISBN: 0655547479

Category:

Page: 312

View: 507

What if the source system is unavailable? Do you keep your data models hidden? How much time did the process take compared to the time it should take? How can data modeling and database design be done in an Agile manner? Who will be using the data and for what purpose? This one-of-a-kind Data modeling self-assessment will make you the principal Data modeling domain expert by revealing just what you need to know to be fluent and ready for any Data modeling challenge. How do I reduce the effort in the Data modeling work to be done to get problems solved? How can I ensure that plans of action include every Data modeling task and that every Data modeling outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data modeling costs are low? How can I deliver tailored Data modeling advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data modeling essentials are covered, from every angle: the Data modeling self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Data modeling outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data modeling practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data modeling are maximized with professional results. Your purchase includes access details to the Data modeling self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Data modeling Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Categories:

Storage Data Modeling Second Edition

Storage Data Modeling Second Edition

You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in.

Author: Gerardus Blokdyk

Publisher: 5starcooks

ISBN: 0655527508

Category:

Page: 284

View: 818

Who needs to know about Storage Data Modeling? What are the essentials of internal Storage Data Modeling management? Has the direction changed at all during the course of Storage Data Modeling? If so, when did it change and why? Is supporting Storage Data Modeling documentation required? Are there Storage Data Modeling problems defined? This astounding Storage Data Modeling self-assessment will make you the credible Storage Data Modeling domain assessor by revealing just what you need to know to be fluent and ready for any Storage Data Modeling challenge. How do I reduce the effort in the Storage Data Modeling work to be done to get problems solved? How can I ensure that plans of action include every Storage Data Modeling task and that every Storage Data Modeling outcome is in place? How will I save time investigating strategic and tactical options and ensuring Storage Data Modeling costs are low? How can I deliver tailored Storage Data Modeling advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Storage Data Modeling essentials are covered, from every angle: the Storage Data Modeling self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Storage Data Modeling outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Storage Data Modeling practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Storage Data Modeling are maximized with professional results. Your purchase includes access details to the Storage Data Modeling self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Storage Data Modeling Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Categories:

Data Modeling

Data Modeling

How do I reduce the effort in the Data modeling work to be done to get problems solved? How can I ensure that plans of action include every Data modeling task and that every Data modeling outcome is in place?

Author: Gerard Blokdyk

Publisher: Createspace Independent Publishing Platform

ISBN: 1979456135

Category:

Page: 130

View: 354

What key business process output measure(s) does Data modeling leverage and how? Does Data modeling include applications and information with regulatory compliance significance (or other contractual conditions that must be formally complied with) in a new or unique manner for which no approved security requirements, templates or design models exist? What situation(s) led to this Data modeling Self Assessment? What are the business goals Data modeling is aiming to achieve? Why should we adopt a Data modeling framework? This instant Data modeling self-assessment will make you the entrusted Data modeling domain assessor by revealing just what you need to know to be fluent and ready for any Data modeling challenge. How do I reduce the effort in the Data modeling work to be done to get problems solved? How can I ensure that plans of action include every Data modeling task and that every Data modeling outcome is in place? How will I save time investigating strategic and tactical options and ensuring Data modeling opportunity costs are low? How can I deliver tailored Data modeling advise instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Data modeling essentials are covered, from every angle: the Data modeling self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Data modeling outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Data modeling practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Data modeling are maximized with professional results. Your purchase includes access to the $249 value Data modeling self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Categories:

DB2 Universal Database for OS 390

DB2 Universal Database for OS 390

See Logical and physical relational data modeling theory and techniques 74
Handbook of Relational Database Design by Candace C. Fleming and Barbara
von Halle Data Modeling Essentials by Graeme C. Simsion The Data Modeling ...

Author: Susan Graziano Sloan

Publisher: IBM Press

ISBN: 013019848X

Category: Computers

Page: 454

View: 771

This book will be written for people who are new to the DB2 product. The readers/users will be migrating from desktop systems or coming from other popular database systems such as Oracle. Many will be also coming from other operating systems such as Windows and UNIX.
Categories: Computers

Inside Microsoft SQL Server 2008

Inside Microsoft SQL Server 2008

For the most popular modeling approach , the ER approach , I like Data Modeling
Essentials , 3rd edition by Graeme Simsion and Graham Witt ( Morgan Kauffman ,
2004 ) , where you can find a lot on the modeling process and finding ...

Author: Itzik Ben-Gan

Publisher:

ISBN: UOM:39076002812571

Category: Computers

Page: 798

View: 126

Provides information on the architecture of the T-SQL programming language to create scalable code.
Categories: Computers

Beginning Relational Data Modeling

Beginning Relational Data Modeling

The Data Model Resource Book , Vol . 2 : A Library of Universal Data Models for
Industry Types , Revised Edition . Hoboken , NJ : John Wiley & Sons , 2001 .
Simsion , Graeme , and Graham Witt . Data Modeling Essentials :
Comprehensive ...

Author: Sharon Allen

Publisher:

ISBN: UOM:39015060811265

Category: Computers

Page: 604

View: 141

A guide to data modeling provides information on the process of capturing business information, formulating data models, and mapping models to a physical relational database design.
Categories: Computers

Annual Book of ASTM Standards 2007

Annual Book of ASTM Standards 2007

4 mmoselen Process ( DFD ) Model Review Item Check if YES Is the activity
name a Verb Phrase that describes the tasks being performed ? D at2 70 W Are
... ( 4 ) Simsion , Graeme , “ Data Modeling Essentials , ” New York : Thomson ,
1994 .

Author:

Publisher:

ISBN: 0803144369

Category: Materials

Page:

View: 515

Categories: Materials

Writing Effective Business Rules

Writing Effective Business Rules

This is important as it enables professionals to readily use business rules techniques in the workplace.

Author: Graham Witt

Publisher: Elsevier

ISBN: 9780123850515

Category: Computers

Page: 340

View: 679

The world of rules -- How rules work -- A brief history of rules -- Types of rules -- The building blocks of natural language rule statements -- Fact Models -- How to write quality natural language rule statements -- An end-to-end rule management methodology -- Rule statement templates and subtemplates.
Categories: Computers