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 longstanding 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.

Data Modeling Theory and Practice

Computers & Technology

Simsion, Graeme

Programming

Technics Publications

Ian is a Chief Information Officer (CIO) who is about to go on a journey of change - whether he likes it or not. He will be expected to explore, challenge and radically recast the complex, often hostile relationships that can exist between a business and the people in its Information Technology (IT) department. On the way, Ian, his Chief Executive Officer, Chief Financial Officer and other key stakeholders, experience a transformation in how a business needs to think about the value of its IT people and the work that they do. This results in some truly groundbreaking innovations in the scope and contribution of Ian's role as CIO, the people that work for him and the strategy that he leads. 
 Watch the characters in this extraordinary business novel as they meet the challenge, struggle and grow. Share in Ian's transformation, and join the author in observing key messages as the adventure unfolds.
 Part entertaining novel and part enlightening textbook - FruITion takes the reader through a discovery process revealing indispensable messages about the next generation of strategies for Information Technology. - Jeremy Hall, Managing Director, IRM UK Strategic IT Training 
 FruITion brings vividly to life the issues of being a CIO in today's corporate world and how IT, when properly integrated into the objectives of a business can drive massive value creation. His insights into how to win the engagement war and bring technology strategies alive for the non technical are absolutely spot on. - Steve Adams, COO and Managing Director for Card Services, Euronet Worldwide
 The modern CIO is to be seen as part of the business rather than a service provider to the business. Chris Potts is at the forefront of thinking that will put us all there if we act on his inspiration. - David Brown, CIO of Scottish Water
More from the author, Chris Potts The debate over the CIO role, and about the extent to which it should be about business or technology, is taking place in an increasing vacuum of strategic context. Some CIOs have abandoned strategy altogether, while others persevere with a traditional IT Strategy founded in the mindset of the mainframe era. Meanwhile, business managers and staff continue to develop their knowledge of technology and understanding of how to exploit it. There seems to be a presumption that the next-generation strategic purpose of the CIO will be an incremental step on from what has gone before - significant, maybe, but still incremental. What if the CIO's new strategic context is not incremental but disruptive, requiring a very different mindset and skillset? And, most crucially, what if the corporate strategists - rather than the CIO community - are the ones deciding what context is? Their offer to the CIO: you can become one of the corporate strategists like us, but not with your traditional scope and approach to strategy. What does that offer look like and what does it mean for incumbent CIOs and the people who work for them?
 Chris Potts works with executives and CIOs in industry-leading companies around the world, formulating and executing the new generation of corporate strategies for exploiting IT. He delivers public seminars that are founded on his own breakthrough work with clients, and has provided training to some of the worlds leading consultancies.

fruITion: Creating the Ultimate Corporate Strategy for Information Technology (FruITion Series)

Business & Money

Potts, Chris

Management & Leadership

Data Modeling Made Simple will provide you with a practical working knowledge of data modeling concepts and best practices. Master these ten objectives:
<ol>
<li>Know when a data model is needed and which type of data model is most effective for each situation</li>
<li>Read a data model of any size and complexity with the same confidence as reading a book</li>
<li>Build a fully normalized relational data model, as well as an easily navigatable dimensional model</li>
<li>Apply techniques to turn a logical data model into an efficient physical design</li>
<li>Leverage several templates to make requirements gathering more efficient and accurate</li>
<li>Explain all ten categories of the Data Model Scorecard(r)</li>
<li>Learn strategies to improve your working relationships with others</li>
<li>Appreciate the impact unstructured data has on our data modeling deliverables</li>
<li>Learn basic UML concepts</li>
<li>Put data modeling in context with XML, metadata, and agile development</li>
</ol>

Data Modeling Made Simple, 2nd Edition: A Practical Guide for Business and IT Professionals

Steve Hoberman

Data Modeling Made Simple with PowerDesigner will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, and how to apply these principles with PowerDesigner. You'll build many PowerDesigner data models along the way, increasing your skills first with the fundamentals and later with more advanced feature of PowerDesigner. This book combines real-world experience and best practices to help you master the following ten objectives: 
<ol>
<li>You will know when a data model is needed and which PowerDesigner models are the most appropriate for each situation</li> <li>You will be able to read a data model of any size and complexity with the same confidence as reading a book</li> <li>You will know when to apply and how to make use of all the key features of PowerDesigner</li> <li>You will be able to build, step-by-step in PowerDesigner, a pyramid of linked data models, including a conceptual data model, a fully normalized relational data model, a physical data model, and an easily navigable dimensional model</li> <li>You will be able to apply techniques such as indexing, transforms, and forward engineering to turn a logical data model into an efficient physical design </li> <li>You will improve data governance and modeling consistency within your organization by leveraging features such as PowerDesigner's reference models, Glossary, domains, and model comparison and model mapping techniques</li> <li> You will know how to utilize dependencies and traceability links to assess the impact of change</li> <li> You will know how to integrate your PowerDesigner models with externally-managed files, including the import and export of data using Excel and Requirements documents </li> <li> You will know where you can take advantage of the entire PowerDesigner model set, to increase the success rate of corporate-wide initiatives such as business intelligence and enterprise resource planning (ERP)</li> <li> You will understand the key differentiators between PowerDesigner and other data modeling tools you may have used before </li> </ol> This book contains seven sections: Section I introduces data modeling, along with its purpose and variations. 
Section II explains all of the components on a data model including entities, data elements, relationships, and keys. Also included is a discussion of the importance of quality names and definitions for your objects. 
Section III explains the important role of data modeling tools, the key features required of any data modeling tool, and an introduction to the essential features of PowerDesigner. It also describes how to create and manage data modeling objects in PowerDesigner. 
Section IV introduces the Data Model Pyramid, then dives into the relational and dimensional subject areas, logical, and physical data models, and describes how PowerDesigner supports these models and the connections between them. 
Section V guides you through the creation of your own Data Model Pyramid. 
Section VI focuses on additional PowerDesigner features (some of which have already been introduced) that make life easier for data modelers. Learn how to get information into and out of PowerDesigner, and improve the quality of your data models with a cross-reference of key PowerDesigner features with the Data Model Scorecard. 
Section VII discusses PowerDesigner topics beyond data modeling, including the XML physical model and the other types of model available in PowerDesigner.

Data Modeling Made Simple with PowerDesigner (Take It With You)

George McGeachie

Computer Science

Many Cultures, One Team is an essential aid for anyone who leads, is a member of, consults with, or supports global teams. Starting from the premise that the concept of team is culturally bound, Catherine Mercer Bing provides guidance for improving team function and performance. Drawing on her extensive experience in supporting global teams, she challenges team leaders and members to reflect on their cultural assumptions – to improve their cultural metacognition – and provides key advice concerning engagement, productivity, and human process interactions on teams. Global competition is fierce, and the timeframe within which businesses maintain their competitive advantage is now counted in months rather than years. One important source of competitive advantage is human behavior. Team leaders that manage the subtle, but powerful, forces of group dynamics and culture achieve better business outcomes. Team leaders that fail to identify and manage these subtle forces in real-time risk having their plans thwarted. “Many Cultures, One Team” is based on Cass Mercer Bing's extensive experience helping virtual and multi-cultural teams achieve their full potential. “Many Cultures, One Team” provides extensive advice for team leaders and consultants in a ready-to-use format. It is a crucial guide to anyone who wishes to gain a better handle on a crucial source of competitive advantage: human dynamics on global and virtual teams. Dr. Amitai Touval, Zicklin School of Business My favorite part is the case box. It raises questions and makes me think, ‘darn, I don’t really know!’... The explanations tend to give me a ‘Yes, yes, I know’ feeling. Gert Jan Hofstede, Associate Professor at Wageningen UR, The Netherlands Cass has presented a framework for global leaders to go beyond their own comfort zone allowing leaders to recognize and appreciate the cultural challenges involved in leading cross cultural teams. The leader is able to recognize and identify the cultural dynamics and utilize these techniques and strategies in making the organization function more effectively. This approach and the techniques outlined can be applied at multiple levels in the organization which makes a compelling case for leaders and HR professionals who operate in the complex network of cultural behavioral preferences present in global teams. John E. Warren III, Global Human Resources Executive

Many Cultures, One Team: Build Your Cultural Repertoire

Bing, Catherine Mercer

Business Culture

Escrito por más de 120 profesionistas en la gestión de datos, la guía DAMA de los fundamentos para la gestión de datos (DAMA-DMBOK) es la recopilación más impresionante jamás realizada de principios y mejores prácticas en la gestión de datos. Este libro proporciona a profesionales de IT, ejecutivos, trabajadores del conocimiento, educadores e investigadores de gestión de datos un método de manejo de datos para desarrollar su arquitectura de información. En comparación con los libros PMBOK o el BABOK, el libro DAMA-DMBOK proporciona información sobre:
<ul>
<li>Gobierno de datos</li>
<li> Gestión de Arquitectura de Datos</li>
<li>Desarrollo de datos</li>
<li>Gestión de Operaciones de base de datos </li>
<li>Gestión de la seguridad de datos</li>
<li>Gestión de datos maestros y de referencia</li>
<li>Gestión de almacenamiento de datos e inteligencia de negocios</li>
<li>Gestión de documentación y contenidos</li>
<li>Gestión de metadatos</li>
<li>Gestión de calidad de datos</li>
<li>Desarrollo profesional</li>
</ul>Como una introducción oficial a la gestión de datos, los objetivos de la guía DAMA-DMBOK son:<ul>
<li>Construir consensos para una visón general aplicable a las funciones de gestión de datos.</li>
<li>Proporcionar definiciones estandarizadas para funciones comúnmente utilizadas en la gestión de datos, resultados, roles y otras terminologías.</li>
<li>Documentar principios guiados para la gestión de datos. </li>
<li>Presentar una visión neutral de buenas prácticas comúnmente aceptadas, técnicas y métodos ampliamente adoptados, y alcances alternativos significantes. </li>
<li>Clarificar los alcances y límites de la gestión de datos.</li>
<li>Desempeñarse como guía de referencia para una mayor compresión para el lector</li>
</ul>Editores: Mark Mosley, Editor de desarrollo, Michel Brackett, Editor de producción, Susan Early, Asistente de editor, y Deborah Henderson, Patrocinador del proyecto. Prologo por John Zachman, Prefacio por John Schley (presidente internacional de DAMA) y Deborah Henderson (Presidenta de fundación DAMA, Vicepresidenta internacional de educación e investigación DAMA) y Epilogo por Michel Brackett. El DMBOK fue traducido al español por: Derly Almanza, Cinthia Carolina Sanchez Osorio, Karen Dawson, Ramón Vasquez, Juan Azcurra, Juan Diego Lorenzo, Fernado Giliberto, Sergio Tornati y Pablo Cigliuti. 
Prólogo por John Zachman:
ejecutarEl libro es una recopilación exhaustiva de todos los temas y casos posibles que merecen consideración para iniciar y ejecutar responsabilidades de gestión de datos en una empresa moderna. Es impresionante en su integralidad. No sólo identifica las metas y los objetivos de todos los temas de gestión de datos y las responsabilidades sino también sugiere de manera natural los participantes en la organización y los resultados finales que se deben esperar. 
. Este material fue único en su momento por la carencia de información relacionada a este tema. Ha progresado hasta convertirse en un manual facultativo que merece un lugar en cualquier anaquel de gestión de datos. Hay una gran cantidad de información para el principiante de datos, pero también es de gran valor para el experto utilizándolo como una lista de comprobación y validación de sus conocimientos y responsabilidades para asegurar que nada se le ha olvidado. Es impresionante su amplitud y exhaustividad. 
La guía DAMA-DMBOK merece un lugar en cada estantería de libros de profesionistas de gestión de datos y para un gerente general servirá como guía para establecer expectativas y para asignar responsabilidades para la gestión y la práctica de lo que se ha convertido en el recurso más crítico de la empresa que ha progresado en la era de la información: DATOS!

Versión en español de la Guía DAMA de los fundamentos para la gestión de datos (DAMA-DMBOK) (Spanish Edition)

International, DAMA

Industries

Are you struggling to understand the data you need to support your business activities? Are you frustrated over data that don't answer your questions or provide the wrong answers to your questions? Are you worried that your organization is not adequately supporting its citizens or customers? Are you concerned over civil or criminal liability for the quality and use of your data? If the answer to any of these questions is Yes, they you need to read Data Resource Understanding to help you and everyone in your organization thoroughly understand the data they need to support the business activities. Most public and private sector organizations have no formal method for thoroughly understanding the data needed to support their business activities. They seldom have a method that begins with the organization's perception of the business world and continues through a formal Data Resource Development Cycle to produce a high quality, thoroughly understood data resource that fully supports the organization's current and future business information demand. Data Resource Data provided the complete detailed data resource model for understanding and managing data as a critical resource of the organization. Data Resource Understanding is the companion book to Data Resource Data. It provides a detailed explanation of how to thoroughly understand an organization's data resource and to document that understanding with Data Resource Data. Together they provide an organization with the foundation for properly managing their data as a critical resource. Like Data Resource Simplexity, Data Resource Integration, Data Resource Design, and Data Resource Data, Michael Brackett draws on over half a century of data management experience, in a wide variety of different public and private sector organizations, to understand and document an organization's data resource. He leverages theories, concepts, principles, and techniques from many different and varied disciplines, such as human dynamics, mathematics, physics, chemistry, philosophy, and biology, and applies them to the process of formally documenting an organization's data resource.

Data Resource Understanding: Utilizing the Data Resource Data (Data Resource Simplexity)

Brackett, Michael

Object-Role Modeling (ORM) is a fact-based approach to data modeling that expresses the information requirements of any business domain simply in terms of objects that play roles in relationships. All facts of interest are treated as instances of attribute-free structures known as fact types, where the relationship may be unary (e.g. Person smokes), binary (e.g. Person was born on Date), ternary (e.g. Customer bought Product on Date), or longer. Fact types facilitate natural expression, are easy to populate with examples for validation purposes, and have greater semantic stability than attribute-based structures such as those used in Entity Relationship Modeling (ER) or the Unified Modeling Language (UML). All relevant facts, constraints and derivation rules are expressed in controlled natural language sentences that are intelligible to users in the business domain being modeled. This allows ORM data models to be validated by business domain experts who are unfamiliar with ORM's graphical notation. For the data modeler, ORM's graphical notation covers a much wider range of constraints than can be expressed in industrial ER or UML class diagrams, and thus allows rich visualization of the underlying semantics. Suitable for both novices and experienced practitioners, this book covers the fundamentals of the ORM approach. Written in easy-to-understand language, it shows how to design an ORM model, illustrating each step with simple examples. Each chapter ends with a practical lab that discusses how to use the freeware NORMA tool to enter ORM models and use it to automatically generate verbalizations of the model and map it to a relational database.

Object-Role Modeling Fundamentals: A Practical Guide to Data Modeling with ORM

Halpin, Terry

What? Another management book? You will find And People? to be refreshingly different. Its Eastern European perspective, enhanced with best practices and research studies, will reveal the secrets for successfully leading and managing people. Part textbook, part handbook, each word is crafted based upon author Ivica Vrancic's 20 years of experience in management and consulting, which includes working with hundreds of managers from all hierarchy levels. And People? dares to ask why so many managers spend more time, resources, and consideration on their company cars than the real greatest asset of any business: people. Early chapters explore motivation and organization culture; later, Vrancic examines the challenge of selecting the right people for your organization and developing those people to maximize their strengths. Through practical real-world examples built on respected theoretical foundations, readers will gain new insight into the dual role of both manager and leader. And no, a manager and a leader are not the same thing. From Dave Ulrich's Foreword: Ivica does a masterful job in this well written book of simplifying the complex requirements for business success. He offers metaphors and examples of how leadership and management skills both need to exist in a successful business. His insights are particularly helpful in that he adapts them to his experiences in Eastern Europe but shows how they would apply to businesses throughout the world. The book does a wonderful job with simplicity and clarity. Ivica distils volumes of management ideas into digestible nuggets. He then brings in research from thought leaders with specific findings along with examples that bring his ideas to life. He also makes sure that the reader is responsible to manage the tensions or tradeoffs between leadership and management; between individuals and organizations. Creating and sustaining a successful business is not a linear progression following a how-to guide. Success comes from navigating a more complex set of choices. Ivica offers a thoughtful roadmap that can be used to help executives at any level of a company make informed choices about building a successful organization.

And People?: Why Are Managers? Cars the Most Important Asset in Every Organization?

Vrancic, Ivica

Data models are the main medium used to communicate data requirements from business to IT, and within IT from analysts, modelers, and architects, to database designers and developers. Therefore it's essential to get the data model right. But how do you determine right? That's where the Data Model Scorecard comes in. The Data Model Scorecard is a data model quality scoring tool containing ten categories aimed at improving the quality of your organization's data models. Many of my consulting assignments are dedicated to applying the Data Model Scorecard to my client's data models - I will show you how to apply the Scorecard in this book. This book, written for people who build, use, or review data models, contains the Data Model Scorecard template and an explanation along with many examples of each of the ten Scorecard categories. There are three sections: In Section I, Data Modeling and the Need for Validation, receive a short data modeling primer in Chapter 1, understand why it is important to get the data model right in Chapter 2, and learn about the Data Model Scorecard in Chapter 3. In Section II, Data Model Scorecard Categories, we will explain each of the ten categories of the Data Model Scorecard. There are ten chapters in this section, each chapter dedicated to a specific Scorecard category: 
<ul>
<li>Chapter 4: Correctness </li>
<li>Chapter 5: Completeness </li>
<li>Chapter 6: Scheme </li>
<li>Chapter 7: Structure </li>
<li>Chapter 8: Abstraction </li>
<li>Chapter 9: Standards </li>
<li>Chapter 10: Readability </li>
<li>Chapter 11: Definitions </li>
<li>Chapter 12: Consistency </li>
<li>Chapter 13: Data</li>
</ul> In Section III, Validating Data Models, we will prepare for the model review (Chapter 14), cover tips to help during the model review (Chapter 15), and then review a data model based upon an actual project (Chapter 16).

Data Model Scorecard: Applying the Industry Standard on Data Model Quality

Hoberman, Steve

Databases & Big Data

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