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| data modeling theory and practice graeme simsion: Data Modeling Graeme Simsion, 2007 Graeme Simsion, author of several bestsellers including The Rosie Project, provides 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. 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 graeme simsion: Data Modeling Essentials Graeme Simsion, Graham Witt, 2004-12-03 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 |
| data modeling theory and practice graeme simsion: The Data Model Resource Book Len Silverston, Paul Agnew, 2011-03-21 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. |
| data modeling theory and practice graeme simsion: The Data Model Resource Book, Volume 1 Len Silverston, 2001-03-21 A quick and reliable way to build proven databases for core business functions Industry experts raved about The Data Model Resource Book when it was first published in March 1997 because it provided a simple, cost-effective way to design databases for core business functions. Len Silverston has now revised and updated the hugely successful 1st Edition, while adding a companion volume to take care of more specific requirements of different businesses. This updated volume provides a common set of data models for specific core functions shared by most businesses like human resources management, accounting, and project management. These models are standardized and are easily replicated by developers looking for ways to make corporate database development more efficient and cost effective. This guide is the perfect complement to The Data Model Resource CD-ROM, which is sold separately and provides the powerful design templates discussed in the book in a ready-to-use electronic format. A free demonstration CD-ROM is available with each copy of the print book to allow you to try before you buy the full CD-ROM. |
| data modeling theory and practice graeme simsion: Data Modeling for MongoDB Steve Hoberman, 2014-06-01 Congratulations! You completed the MongoDB application within the given tight timeframe and there is a party to celebrate your application’s release into production. Although people are congratulating you at the celebration, you are feeling some uneasiness inside. To complete the project on time required making a lot of assumptions about the data, such as what terms meant and how calculations are derived. In addition, the poor documentation about the application will be of limited use to the support team, and not investigating all of the inherent rules in the data may eventually lead to poorly-performing structures in the not-so-distant future. Now, what if you had a time machine and could go back and read this book. You would learn that even NoSQL databases like MongoDB require some level of data modeling. Data modeling is the process of learning about the data, and regardless of technology, this process must be performed for a successful application. You would learn the value of conceptual, logical, and physical data modeling and how each stage increases our knowledge of the data and reduces assumptions and poor design decisions. Read this book to learn how to do data modeling for MongoDB applications, and accomplish these five objectives: Understand how data modeling contributes to the process of learning about the data, and is, therefore, a required technique, even when the resulting database is not relational. That is, NoSQL does not mean NoDataModeling! Know how NoSQL databases differ from traditional relational databases, and where MongoDB fits. Explore each MongoDB object and comprehend how each compares to their data modeling and traditional relational database counterparts, and learn the basics of adding, querying, updating, and deleting data in MongoDB. Practice a streamlined, template-driven approach to performing conceptual, logical, and physical data modeling. Recognize that data modeling does not always have to lead to traditional data models! Distinguish top-down from bottom-up development approaches and complete a top-down case study which ties all of the modeling techniques together. This book is written for anyone who is working with, or will be working with MongoDB, including business analysts, data modelers, database administrators, developers, project managers, and data scientists. There are three sections: In Section I, Getting Started, we will reveal the power of data modeling and the tight connections to data models that exist when designing any type of database (Chapter 1), compare NoSQL with traditional relational databases and where MongoDB fits (Chapter 2), explore each MongoDB object and comprehend how each compares to their data modeling and traditional relational database counterparts (Chapter 3), and explain the basics of adding, querying, updating, and deleting data in MongoDB (Chapter 4). In Section II, Levels of Granularity, we cover Conceptual Data Modeling (Chapter 5), Logical Data Modeling (Chapter 6), and Physical Data Modeling (Chapter 7). Notice the “ing” at the end of each of these chapters. We focus on the process of building each of these models, which is where we gain essential business knowledge. In Section III, Case Study, we will explain both top down and bottom up development approaches and go through a top down case study where we start with business requirements and end with the MongoDB database. This case study will tie together all of the techniques in the previous seven chapters. Nike Senior Data Architect Ryan Smith wrote the foreword. Key points are included at the end of each chapter as a way to reinforce concepts. In addition, this book is loaded with hands-on exercises, along with their answers provided in Appendix A. Appendix B contains all of the book’s references and Appendix C contains a glossary of the terms used throughout the text. |
| data modeling theory and practice graeme simsion: Data Modeling Essentials Graeme Simsion, Graham Witt, Matthew West, 2015-03-29 If you are seeking expert tutelage for data modelling tools and techniques, you need look no further. Regardless of your level of expertise, as a data analyst, data modeler, data architect, database designer, database application developer, database administrator, business analysts, or systems designers, this book will serve as an invaluable resource in your effort to build reliable and effective data models. Beginning with the basics, this book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modelling and database design. Later chapters delve into advanced topics and enterprise data modelling, covering business rules, data warehousing, data migration, and more. This new and expanded edition updates existing content where current practice dictates and adds new content on Modelling XML, Master and Reference Data, Mapping Between Models, Data Migration, and other areas of intense interest to the data modelling community. NEW TO THIS EDITION • Enhanced contextual treatment of data modeling by providing more examples of data models and their quality in examining where the benefits derive. • NEW chapter on Master and Reference Data Management • NEW chapter of Data Migration • NEW chapter on modeling XML messages • NEW chapter on Mapping Between Data Models The perfect balance of theory and practice giving you both the foundation and the tools to develop high quality data models. Perfect reference for the reflective practitioner providing clear and accessible guidance to data modeling techniques. An invaluable resource containing vast amounts of useful and well illustrated information to those involved in data modeling, from the novice to the expert. |
| data modeling theory and practice graeme simsion: Data and Reality William Kent, 2012-01-01 Let’s step back to the year 1978. Sony introduces hip portable music with the Walkman, Illinois Bell Company releases the first mobile phone, Space Invaders kicks off the video game craze, and William Kent writes Data and Reality. We have made amazing progress in the last four decades in terms of portable music, mobile communication, and entertainment, making devices such as the original Sony Walkman and suitcase-sized mobile phones museum pieces today. Yet remarkably, the book Data and Reality is just as relevant to the field of data management today as it was in 1978. Data and Reality gracefully weaves the disciplines of psychology and philosophy with data management to create timeless takeaways on how we perceive and manage information. Although databases and related technology have come a long way since 1978, the process of eliciting business requirements and how we think about information remains constant. This book will provide valuable insights whether you are a 1970s data-processing expert or a modern-day business analyst, data modeler, database administrator, or data architect. This third edition of Data and Reality differs substantially from the first and second editions. Data modeling thought leader Steve Hoberman has updated many of the original examples and references and added his commentary throughout the book, including key points at the end of each chapter. The important takeaways in this book are rich with insight yet presented in a conversational and easy-to-grasp writing style. Here are just a few of the issues this book tackles: • Has “business intelligence” replaced “artificial intelligence”? • Why is a map’s geographic landscape analogous to a data model’s information landscape? • Where do forward and reverse engineering fit in our thought process? • Why are we all becoming “data archeologists”? • What causes the communication chasm between the business professional and the information technology professional in most organizations, and how can the logical data model help bridge this chasm? • Why do we invest in hardware and software to solve business problems before determining what the business problems are in the first place? • What is the difference between oneness, sameness, and categories? • Why does context play a role in every design decision? • Why do the more important attributes become entities or relationships? • Why do symbols speak louder than words? • What’s the difference between a data modeler, a philosopher, and an artist? • Why is the 1975 dream of mapping all attributes still a dream today? • What influence does language have on our perception of reality? • Can we distinguish between naming and describing? From Graeme Simsion’s foreword: While such fundamental issues remain unrecognized and unanswered, Data and Reality, with its lucid and compelling elucidation of the questions, needs to remain in print. I read the book as a database administrator in 1980, as a researcher in 2002, and just recently as the manuscript for the present edition. On each occasion I found something more, and on each occasion I considered it the most important book I had read on data modeling. It has been on my recommended reading list forever. The first chapter in particular should be mandatory reading for anyone involved in data modeling. In publishing this new edition, Steve Hoberman has not only ensured that one of the key books in the data modeling canon remains in print, but has added his own comments and up-to-date examples, which are likely to be helpful to those who have come to data modeling more recently. Don’t do any more data modeling work until you’ve read it. |
| data modeling theory and practice graeme simsion: Data Visualization in Enlightenment Literature and Culture Ileana Baird, 2021-03-23 Data Visualization in Enlightenment Literature and Culture explores the new interpretive possibilities offered by using data visualization in eighteenth-century studies. Such visualizations include tabulations, charts, k-means clustering, topic modeling, network graphs, data mapping, and/or other illustrations of patterns of social or intellectual exchange. The contributions to this collection present groundbreaking research of texts and/or cultural trends emerging from data mined from existing databases and other aggregates of sources. Describing both small and large digital projects by scholars in visual arts, history, musicology, and literary studies, this collection addresses the benefits and challenges of employing digital tools, as well as their potential use in the classroom. Chapters 1, 3, 8 and 10 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com. |
| data modeling theory and practice graeme simsion: Model Based Environment Vladimir Pantic, 2013-02-14 Information Systems are a synthesis of complex components where data plays a critical role. Data Modeling requires a disciplined approach making use of business and technical knowledge. Using data models for database design, implementation, and maintenance requires the implementation of procedures that will secure successful database deployment and validation. This book teaches you the basic technical knowledge required for physical data modeling as well as procedures for model implementation and maintenance. With examples in two major Relational Database Management Systems (Oracle and DB2) the book presents procedures for model design, implementation and maintenance in PowerDesigner modeling tool. |
| data modeling theory and practice graeme simsion: Database Modeling and Design Toby J. Teorey, Sam S. Lightstone, Tom Nadeau, H.V. Jagadish, 2010-08-05 Database Modeling and Design, Fourth Edition, the extensively revised edition of the classic logical database design reference, explains how you can model and design your database application in consideration of new technology or new business needs. It is an ideal text for a stand-alone data management course focused on logical database design, or a supplement to an introductory text for introductory database management. This book features clear explanations, lots of terrific examples and an illustrative case, and practical advice, with design rules that are applicable to any SQL-based system. The common examples are based on real-life experiences and have been thoroughly class-tested. The text takes a detailed look at the Unified Modeling Language (UML-2) as well as the entity-relationship (ER) approach for data requirements specification and conceptual modeling - complemented with examples for both approaches. It also discusses the use of data modeling concepts in logical database design; the transformation of the conceptual model to the relational model and to SQL syntax; the fundamentals of database normalization through the fifth normal form; and the major issues in business intelligence such as data warehousing, OLAP for decision support systems, and data mining. There are examples for how to use the most popular CASE tools to handle complex data modeling problems, along with exercises that test understanding of all material, plus solutions for many exercises. Lecture notes and a solutions manual are also available. This edition will appeal to professional data modelers and database design professionals, including database application designers, and database administrators (DBAs); new/novice data management professionals, such as those working on object oriented database design; and students in second courses in database focusing on design. + a detailed look at the Unified Modeling Language (UML-2) as well as the entity-relationship (ER) approach for data requirements specification and conceptual modeling--with examples throughout the book in both approaches! + the details and examples of how to use data modeling concepts in logical database design, and the transformation of the conceptual model to the relational model and to SQL syntax; + the fundamentals of database normalization through the fifth normal form;+ practical coverage of the major issues in business intelligence--data warehousing, OLAP for decision support systems, and data mining; + examples for how to use the most popular CASE tools to handle complex data modeling problems. + Exercises that test understanding of all material, plus solutions for many exercises. |
| data modeling theory and practice graeme simsion: The Nimble Elephant John Giles, 2012-08-01 “Get it done well and get it done fast” are twin, apparently opposing, demands. Data architects are increasingly expected to deliver quality data models in challenging timeframes, and agile developers are increasingly expected to ensure that their solutions can be easily integrated with the data assets of the overall organization. If you need to deliver quality solutions despite exacting schedules, “The Nimble Elephant” will help by describing proven techniques that leverage the libraries of published data model patterns to rapidly assemble extensible and robust designs. The three sections in the book provide guidelines for applying the lessons to your own situation, so that you can apply the techniques and patterns immediately to your current assignments. The first section, Foundations for Data Agility, addresses some perceived aspects of friction between “data” and “agile” practitioners. As a starting point for resolving the differences, pattern levels of granularity are classified, and their interdependencies exposed. A context of various types of models is established (e.g. conceptual / logical / physical, and industry / enterprise / project), and you will learn how to customize patterns within specific model types. The second section, Steps Towards Data Agility, shares guidelines on generalizing and specializing, with cautions on the dangers of going too far. Creativity in using patterns beyond their intended purpose is encouraged. The short-term “You Ain’t Gonna Need It” (YAGNI) philosophy of agile practitioners, and the longer-term strategic perspectives of architects, are compared and evaluated. Consideration is given to the potential of enterprise views contributing to project-specific models. Other topics include industry models, iterative modeling, creation of patterns when none exist, and patterns for rules-in-data. The section ends with a perspective on the modeler’s possible role in agile projects, followed by a case study. The final section, A Bridge to the Land of Object Orientation, provides a pathway for re-skilling traditional data modelers who want to expand their options by actively engaging with the ranks of object-oriented developers. I’m delighted to see that John has put his extensive experience and broad knowledge of data modeling into print! John’s ability to simplify the complex, and to share his knowledge and enthusiasm – and humor – with colleagues, comes through in this very useful and readable book. I recommend it to anyone working with data. — Monika Remenyi, Senior Data Architect, Telstra John Giles has written a compelling and engaging book about the importance of data modeling patterns in the world of agile computing. His book is clearly and simply written, and it is full of excellent examples drawn from his extensive experience as a practitioner. You will see the enthusiasm and passion that John clearly has for his work in data modeling. And you will see in his book that any interchange with John will always have its fair share of good humor and wisdom! — Professor Ron Weber, Dean, Faculty of IT, Monash University |
| data modeling theory and practice graeme simsion: Data Model Patterns: A Metadata Map David C. Hay, 2010-07-20 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 |
| data modeling theory and practice graeme simsion: Navigating the Labyrinth Laura Sebastian-Coleman, An Executive Guide to Data Management |
| data modeling theory and practice graeme simsion: Database Design: Know It All Toby J. Teorey, Tony Morgan, Thomas P. Nadeau, Bonnie O'Neil, Elizabeth O'Neil, Patrick O'Neil, Markus Schneider, Graeme Simsion, Graham Witt, Stephen Buxton, Lowell Fryman, Ralf Hartmut Güting, Terry Halpin, Jan L. Harrington, W.H. Inmon, Sam S. Lightstone, Jim Melton, 2008-10-23 This book brings all of the elements of database design together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of database design methodology ? from ER and UML techniques, to conceptual data modeling and table transformation, to storing XML and querying moving objects databases. The proposed book expertly combines the finest database design material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that allows it to be used as a reference work for those interested in new and developing aspects of database design. This book represents a quick and efficient way to unite valuable content from leading database design experts, thereby creating a definitive, one-stop-shopping opportunity for customers to receive the information they would otherwise need to round up from separate sources. - Chapters contributed by various recognized experts in the field let the reader remain up to date and fully informed from multiple viewpoints. - Details multiple relational models and modeling languages, enhancing the reader's technical expertise and familiarity with design-related requirements specification. - Coverage of both theory and practice brings all of the elements of database design together in a single volume, saving the reader the time and expense of making multiple purchases. |
| data modeling theory and practice graeme simsion: Cats, Carpenters, and Accountants Wayne de Fremery, 2024-05-07 An expansive case for bibliography as infrastructure in information science. Cats, Carpenters, and Accountants argues that bibliography serves a foundational role within information science as infrastructure, and like all infrastructures, it needs and deserves attention. Wayne de Fremery’s thoughtful provocation positions bibliography as a means to serve the many ends pursued by information scientists. He explains that bibliographic practices, such as enumeration and description, lie at the heart of knowledge practices and cultural endeavors, but these kinds of infrastructures are difficult to see. In this book, he reveals them and the ways that they formulate information and meaning, artificial intelligence, and human knowledge. Drawing on scholarship from areas as diverse as data science, machine learning, Korean poetry, and the history of bibliography, de Fremery makes the case for understanding bibliography as a generative mode of accounting for what has been received as data, what he calls “carpentry-accounting.” Referencing a well-known debate in the Anglo-American bibliographical tradition that features a willful cat, he suggests that bibliography and bibliographers are intentionally marginal figures who, paradoxically, perform foundational work in the service of the diverse disciplinary ends that formulate, however loosely, information science as a field. When we attend to the marginal but essential work of accounting for what humankind has fashioned as recorded knowledge, it becomes easier to consider the ways that human accounts can serve and, sometimes, injure us. Relevant to scholars and students from the sciences to the humanities, Cats, Carpenters, and Accountants is a highly original argument for bibliography as a marginal but foundationally powerful force shaping information science as a field and the ways that we know. |
| data modeling theory and practice graeme simsion: Writing Effective Business Rules Graham Witt, 2012-03-15 Writing Effective Business Rules moves beyond the fundamental dilemma of system design: defining business rules either in natural language, intelligible but often ambiguous, or program code (or rule engine instructions), unambiguous but unintelligible to stakeholders. Designed to meet the needs of business analysts, this book provides an exhaustive analysis of rule types and a set of syntactic templates from which unambiguous natural language rule statements of each type can be generated. A user guide to the SBVR specification, it explains how to develop an appropriate business vocabulary and generate quality rule statements using the appropriate templates and terms from the vocabulary. The resulting rule statements can be reviewed by business stakeholders for relevance and correctness, providing for a high level of confidence in their successful implementation. - A complete set of standard templates for rule statements and their component syntactic elements - A rigorous approach to rule statement construction to avoid ambiguity and ensure consistency - A clear explanation of the way in which a fact model provides and constrains the rule statement vocabulary - A practical reader-friendly user guide to the those parts of the SBVR specification that are relevant to rule authoring |
| data modeling theory and practice graeme simsion: The Firebird Book Helen Borrie, 2004-08-02 Although less publicized than other open source database management systems, Firebird continues to gain a dedicated following of professional users. Figures have already reached hundreds of thousands worldwide, in Firebird's short history in open source. And until now, no other book has been available. This is the first, official book on Firebird—the free, independent, open source relational database server that emerged in 2000. Based on the actual Firebird Project, this book will provide all you need to know about Firebird database development, like installation, multi-platform configuration, SQL, interfaces, and maintenance. This comprehensive guide will help you build stable and scalable relational database back-ends for all sizes of client/server networks. The text is well-stocked with tips, code examples, and explanations to reinforce the material covered. This book concentrates on Firebird edition 1.5—complete with updated language, security and optimization features—without neglecting the needs of Firebird 1.0 users. |
| data modeling theory and practice graeme simsion: Physical Database Design Sam S. Lightstone, Toby J. Teorey, Tom Nadeau, 2010-07-26 The rapidly increasing volume of information contained in relational databases places a strain on databases, performance, and maintainability: DBAs are under greater pressure than ever to optimize database structure for system performance and administration. Physical Database Design discusses the concept of how physical structures of databases affect performance, including specific examples, guidelines, and best and worst practices for a variety of DBMSs and configurations. Something as simple as improving the table index design has a profound impact on performance. Every form of relational database, such as Online Transaction Processing (OLTP), Enterprise Resource Management (ERP), Data Mining (DM), or Management Resource Planning (MRP), can be improved using the methods provided in the book. The first complete treatment on physical database design, written by the authors of the seminal, Database Modeling and Design: Logical Design, Fourth Edition Includes an introduction to the major concepts of physical database design as well as detailed examples, using methodologies and tools most popular for relational databases today: Oracle, DB2 (IBM), and SQL Server (Microsoft) Focuses on physical database design for exploiting B+tree indexing, clustered indexes, multidimensional clustering (MDC), range partitioning, shared nothing partitioning, shared disk data placement, materialized views, bitmap indexes, automated design tools, and more! |
| data modeling theory and practice graeme simsion: Foundations of Multidimensional and Metric Data Structures Hanan Samet, 2006-08-08 Publisher Description |
| data modeling theory and practice graeme simsion: Data Mining Ian H. Witten, Eibe Frank, 2005-07-13 Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an enhanced Weka machine learning workbench, which now features an interactive interface; comprehensive information on neural networks; a new section on Bayesian networks; and much more. This text is designed for information systems practitioners, programmers, consultants, developers, information technology managers, specification writers as well as professors and students of graduate-level data mining and machine learning courses. - Algorithmic methods at the heart of successful data mining—including tried and true techniques as well as leading edge methods - Performance improvement techniques that work by transforming the input or output |
| data modeling theory and practice graeme simsion: Java Data Mining: Strategy, Standard, and Practice Mark F. Hornick, Erik Marcadé, Sunil Venkayala, 2010-07-26 Whether you are a software developer, systems architect, data analyst, or business analyst, if you want to take advantage of data mining in the development of advanced analytic applications, Java Data Mining, JDM, the new standard now implemented in core DBMS and data mining/analysis software, is a key solution component. This book is the essential guide to the usage of the JDM standard interface, written by contributors to the JDM standard. - Data mining introduction - an overview of data mining and the problems it can address across industries; JDM's place in strategic solutions to data mining-related problems - JDM essentials - concepts, design approach and design issues, with detailed code examples in Java; a Web Services interface to enable JDM functionality in an SOA environment; and illustration of JDM XML Schema for JDM objects - JDM in practice - the use of JDM from vendor implementations and approaches to customer applications, integration, and usage; impact of data mining on IT infrastructure; a how-to guide for building applications that use the JDM API - Free, downloadable KJDM source code referenced in the book available here |
| data modeling theory and practice graeme simsion: Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration Earl Cox, 2005-02 Foundations and ideas -- Principal model types -- Approaches to model building -- Fundamental concepts of fuzzy logic -- Fundamental concepts of fuzzy systems -- Fuzzy SQL and intelligent queries -- Fuzzy clustering -- Fuzzy rule induction -- Fundamental concepts of genetic algorithms -- Genetic resource scheduling optimization -- Genetic tuning of fuzzy models. |
| data modeling theory and practice graeme simsion: Moving Objects Databases Ralf Hartmut Güting, Markus Schneider, 2005-09-06 Moving Objects Databases is the first uniform treatment of moving objects databases, the technology that supports GPS and RFID. It focuses on the modeling and design of data from moving objects — such as people, animals, vehicles, hurricanes, forest fires, oil spills, armies, or other objects — as well as the storage, retrieval, and querying of that very voluminous data. It includes homework assignments at the end of each chapter, exercises throughout the text that students can complete as they read, and a solutions manual in the back of the book. This book is intended for graduate or advanced undergraduate students. It is also recommended for computer scientists and database systems engineers and programmers in government, industry and academia; professionals from other disciplines, e.g., geography, geology, soil science, hydrology, urban and regional planning, mobile computing, bioterrorism and homeland security, etc. - Focuses on the modeling and design of data from moving objects--such as people, animals, vehicles, hurricanes, forest fires, oil spills, armies, or other objects--as well as the storage, retrieval, and querying of that very voluminous data. - Demonstrates through many practical examples and illustrations how new concepts and techniques are used to integrate time and space in database applications. - Provides exercises and solutions in each chapter to enable the reader to explore recent research results in practice. |
| data modeling theory and practice graeme simsion: The Data Modeling Handbook Michael C. Reingruber, William W. Gregory, 1994-12-17 This practical, field-tested reference doesn't just explain the characteristics of finished, high-quality data models--it shows readers exactly how to build one. It presents rules and best practices in several notations, including IDEFIX, Martin, Chen, and Finkelstein. The book offers dozens of real-world examples and go beyond basic theory to provide users with practical guidance. |
| data modeling theory and practice graeme simsion: The Rosie Effect Graeme Simsion, 2014-09-30 Don Tillman and Rosie Jarman are back. If you were swept away by Graeme Simsion’s international smash hit The Rosie Project, you will love The Rosie Effect. The Wife Project is complete, and Don and Rosie are happily married and living in New York. But they’re about to face a new challenge. Rosie is pregnant. Don sets about learning the protocols of becoming a father, but his unusual research style gets him into trouble with the law. Fortunately his best friend Gene is on hand to offer advice: he’s left Claudia and moved in with Don and Rosie. As Don tries to schedule time for pregnancy research, getting Gene and Claudia back together, servicing the industrial refrigeration unit that occupies half his apartment, helping Dave the Baseball Fan save his business and staying on the right side of Lydia the social worker, he almost misses the biggest problem of all: he might lose Rosie when she needs him most. Get ready to fall in love all over again. |
| data modeling theory and practice graeme simsion: Data and Reality William Kent, 1978 The nature of an information system; Naming; Relationships; Attributes; Types and categories and sets; Models; The record model; The other three popular models; The modelling of relationships; Elementary concepts; Philosophy. |
| data modeling theory and practice graeme simsion: Data Modeling Essentials Graeme C. Simsion, 1994 An innovative how-to guide and design aid to data modeling. This book discusses the theory and practice of data modeling as a design activity, and shows the reader how to increase quality and stimulate creativity with new modeling approaches. The book is useful as both a basic learning tool, and a thought provoking guide to higher achievement in designing and executing data models. |
| data modeling theory and practice graeme simsion: Data Preparation for Data Mining Using SAS Mamdouh Refaat, 2010-07-27 Are you a data mining analyst, who spends up to 80% of your time assuring data quality, then preparing that data for developing and deploying predictive models? And do you find lots of literature on data mining theory and concepts, but when it comes to practical advice on developing good mining views find little how to information? And are you, like most analysts, preparing the data in SAS?This book is intended to fill this gap as your source of practical recipes. It introduces a framework for the process of data preparation for data mining, and presents the detailed implementation of each step in SAS. In addition, business applications of data mining modeling require you to deal with a large number of variables, typically hundreds if not thousands. Therefore, the book devotes several chapters to the methods of data transformation and variable selection. - A complete framework for the data preparation process, including implementation details for each step. - The complete SAS implementation code, which is readily usable by professional analysts and data miners. - A unique and comprehensive approach for the treatment of missing values, optimal binning, and cardinality reduction. - Assumes minimal proficiency in SAS and includes a quick-start chapter on writing SAS macros. |
| data modeling theory and practice graeme simsion: Joe Celko's Thinking in Sets: Auxiliary, Temporal, and Virtual Tables in SQL Joe Celko, 2008-01-22 Perfectly intelligent programmers often struggle when forced to work with SQL. Why? Joe Celko believes the problem lies with their procedural programming mindset, which keeps them from taking full advantage of the power of declarative languages. The result is overly complex and inefficient code, not to mention lost productivity.This book will change the way you think about the problems you solve with SQL programs.. Focusing on three key table-based techniques, Celko reveals their power through detailed examples and clear explanations. As you master these techniques, you'll find you are able to conceptualize problems as rooted in sets and solvable through declarative programming. Before long, you'll be coding more quickly, writing more efficient code, and applying the full power of SQL - Filled with the insights of one of the world's leading SQL authorities - noted for his knowledge and his ability to teach what he knows - Focuses on auxiliary tables (for computing functions and other values by joins), temporal tables (for temporal queries, historical data, and audit information), and virtual tables (for improved performance) - Presents clear guidance for selecting and correctly applying the right table technique |
| data modeling theory and practice graeme simsion: The Rosie Result Graeme Simsion, 2019-02-05 The hilarious, challenging and inspiring ending to the Don Tillman trilogy that will have readers cheering for joy. |
| data modeling theory and practice graeme simsion: Joe Celko's SQL for Smarties Joe Celko, 2010-07-26 SQL for Smarties was hailed as the first book devoted explicitly to the advanced techniques needed to transform an experienced SQL programmer into an expert. Now, 10 years later and in the third edition, this classic still reigns supreme as the book written by an SQL master that teaches future SQL masters. These are not just tips and techniques; Joe also offers the best solutions to old and new challenges and conveys the way you need to think in order to get the most out of SQL programming efforts for both correctness and performance. In the third edition, Joe features new examples and updates to SQL-99, expanded sections of Query techniques, and a new section on schema design, with the same war-story teaching style that made the first and second editions of this book classics. - Expert advice from a noted SQL authority and award-winning columnist, who has given ten years of service to the ANSI SQL standards committee and many more years of dependable help to readers of online forums. - Teaches scores of advanced techniques that can be used with any product, in any SQL environment, whether it is an SQL-92 or SQL-99 environment. - Offers tips for working around system deficiencies. - Continues to use war stories--updated!--that give insights into real-world SQL programming challenges. |
| data modeling theory and practice graeme simsion: Data Model Patterns David C. Hay, 2013-07-18 This is the digital version of the printed book (Copyright © 1996). Learning the basics of a modeling technique is not the same as learning how to use and apply it. To develop a data model of an organization is to gain insights into its nature that do not come easily. Indeed, analysts are often expected to understand subtleties of an organization's structure that may have evaded people who have worked there for years. Here's help for those analysts who have learned the basics of data modeling (or entity/relationship modeling) but who need to obtain the insights required to prepare a good model of a real business. Structures common to many types of business are analyzed in areas such as accounting, material requirements planning, process manufacturing, contracts, laboratories, and documents. In each chapter, high-level data models are drawn from the following business areas: The Enterprise and Its World The Things of the Enterprise Procedures and Activities Contracts Accounting The Laboratory Material Requirements Planning Process Manufacturing Documents Lower-Level Conventions |
| data modeling theory and practice graeme simsion: Two Steps Onward Graeme Simsion, Anne Buist, 2021-06-01 Internationally bestselling husband-and-wife writing team Graeme Simsion and Anne Buist are back with another smart, romantic adventure |
| data modeling theory and practice graeme simsion: DAMA-DMBOK. Свод знаний по управлению данными Коллектив авторов, 2020-11-16 Главная задача книги – определить набор руководящих принципов и описать их применение в функциональных областях управления данными. Издание всесторонне описывает проблемы, возникающие в процессе управления данными, и предлагает способы их решения. В нем подробно описаны широко принятые практики, методы и приемы, функции, роли, результаты и метрики.«DAMA-DMBOK: Свод знаний по управлению данными. Второе издание» предоставляет специалистам по управлению данными, ИТ-специалистам, руководителям, преподавателям и исследователям обширный материал для совершенствования работы с информационными активами и корпоративными данными. |
| data modeling theory and practice graeme simsion: Two Steps Forward Graeme Simsion, Anne Buist, 2018-03-20 A story of mid-life and second chances from Graeme Simsion, author of The Rosie Project, and his wife Anne Buist Soon to be a film produced by Ellen DeGeneres Two misfits walk 2,000 kilometres along the Camino de Santiago to find themselves and, perhaps, each other along the way. Zoe, a sometime artist, is from California. Martin, an engineer, is from Yorkshire. Both have ended up in picturesque Cluny, in central France. Both are struggling to come to terms with their recent past—for Zoe, the death of her husband; for Martin, a messy divorce. Looking to make a new start, each sets out alone to walk two thousand kilometres from Cluny to Santiago, in northwestern Spain, in the footsteps of pilgrims who have walked the Camino—the Way—for centuries. The Camino changes you, it’s said. It’s a chance to find a new version of yourself. But can these two very different people find each other? In this smart, funny and romantic journey, Martin’s and Zoe’s stories are told in alternating chapters by husband-and-wife team Graeme Simsion and Anne Buist. Two Steps Forward is a novel about renewal—physical, psychological and spiritual. It’s about the challenge of walking a long distance and of working out where you are going. And it’s about what you decide to keep, what you choose to leave behind and what you rediscover. |
| data modeling theory and practice graeme simsion: The Novel Project Graeme Simsion, 2022-03-01 The no-drama novel writing method behind Graeme Simsion’s global bestsellers |
| data modeling theory and practice graeme simsion: Inside Microsoft SQL Server 2008 T-SQL Querying Itzik Ben-Gan, Lubor Kollar, Dejan Sarka, Steve Kass, 2009-03-25 Tackle the toughest set-based querying and query tuning problems—guided by an author team with in-depth, inside knowledge of T-SQL. Deepen your understanding of architecture and internals—and gain practical approaches and advanced techniques to optimize your code’s performance. Discover how to: Move from procedural programming to the language of sets and logic Optimize query tuning with a top-down methodology Assess algorithmic complexity to predict performance Compare data-aggregation techniques, including new grouping sets Manage data modification—insert, delete, update, merge—for performance Write more efficient queries against partitioned tables Work with graphs, trees, hierarchies, and recursive queries Plus—Use pure-logic puzzles to sharpen your problem-solving skills |
| data modeling theory and practice graeme simsion: The Best of Adam Sharp Graeme Simsion, 2017-04-11 “Sliding Doors meets High Fidelity.” —AU Review From the #1 bestselling author of The Rosie Project and The Rosie Effect, an unforgettable new novel about lost love and second chances. A must-read for fans of Nick Hornby and Karen Joy Fowler. A man settled into his routines, Adam Sharp is content. He’s happy with his partner, Claire, he’s the music expert at trivia night at the pub, he looks after his mother and he does the occasional consulting job in IT—but there’s something he can never quite shake off. And that’s his nostalgia for what might have been, his blazing affair more than twenty years ago with Angelina Brown, a smart and sexy, strong-willed actress who taught him for the first time, as he played piano and she sang, what it meant to find—and then lose—love. How different might his life be if he hadn’t let her walk away? And then, out of nowhere, from the other side of the world, Angelina gets in touch. What does she want? Adam has sung about second chances, but does he have the courage to believe in them? The Best of Adam Sharp is about growing old and feeling young, about happy times and sad memories, about staying together and drifting apart, but most of all, it’s about the power of the songs we sing when we fall in love. |
| data modeling theory and practice graeme simsion: Communication Across Cultures Heather Bowe, Kylie Martin, Howard Manns, 2014-09-23 Communication Across Cultures remains an excellent resource for students of linguistics and related disciplines, including anthropology, sociology and education. It is also a valuable resource for professionals concerned with language and intercultural communication in this global era. |
| data modeling theory and practice graeme simsion: The Rosie Project Graeme C. Simsion, 2013 This title was previously published in 2013 in Australia by the Text Publishing Company. |
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Mosquitoes populations modelling for early warning system and …
Jun 10, 2020 · This technology will include the use of mobile surveillance apps using gamification and citizen science technology co-developed with local stakeholders for reporting locations of …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Data and Digital Outputs Management Annex (Full)
Released 5 May, 2017 This is the official Data and Digital Outputs Management Annex used by the Science Driven e-Infrastructures CRA. Includes questions to be answered during pre …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels …
Data and Digital Outputs Management Plan Template
Data and Digital Outputs Management Plan to ensure ethical approaches and compliance with the Belmont Forum Open Data Policy and Principles , as well as the F AIR Data Principles …
Building New Tools for Data Sharing and Reuse through a …
Jan 10, 2019 · The SEI CRA will closely link research thinking and technological innovation toward accelerating the full path of discovery-driven data use and open science. This will enable a …
Belmont Forum Adopts Open Data Principles for Environmental …
Jan 27, 2016 · Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, …
Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with …
Mosquitoes populations modelling for early warning system and …
Jun 10, 2020 · This technology will include the use of mobile surveillance apps using gamification and citizen science technology co-developed with local stakeholders for reporting locations of …
Climate-Induced Migration in Africa and Beyond: Big Data and …
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data. This holistic approach will allow us to analyze migration process …
Advancing Resilience in Low Income Housing Using Climate …
Jun 4, 2020 · Environmental sustainability and public health considerations will be included. Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient …
Data and Digital Outputs Management Annex (Full)
Released 5 May, 2017 This is the official Data and Digital Outputs Management Annex used by the Science Driven e-Infrastructures CRA. Includes questions to be answered during pre …
Belmont Forum
What is the Belmont Forum? The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical …
Waterproofing Data: Engaging Stakeholders in Sustainable Flood …
Apr 26, 2018 · Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices. Typically, data flows up from local levels to …
Data and Digital Outputs Management Plan Template
Data and Digital Outputs Management Plan to ensure ethical approaches and compliance with the Belmont Forum Open Data Policy and Principles , as well as the F AIR Data Principles …
