April 13, 2021

Download Ebook Free Information Modeling And Relational Databases

Information Modeling and Relational Databases

Information Modeling and Relational Databases
Author : Terry Halpin,Tony Morgan
Publisher : Morgan Kaufmann
Release Date : 2010-07-27
Category : Computers
Total pages :976
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Information Modeling and Relational Databases, Second Edition, provides an introduction to ORM (Object-Role Modeling)and much more. In fact, it is the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge from domain experts into a sound database design. This book is intended for anyone with a stake in the accuracy and efficacy of databases: systems analysts, information modelers, database designers and administrators, and programmers. Terry Halpin, a pioneer in the development of ORM, blends conceptual information with practical instruction that will let you begin using ORM effectively as soon as possible. Supported by examples, exercises, and useful background information, his step-by-step approach teaches you to develop a natural-language-based ORM model, and then, where needed, abstract ER and UML models from it. This book will quickly make you proficient in the modeling technique that is proving vital to the development of accurate and efficient databases that best meet real business objectives. Presents the most indepth coverage of Object-Role Modeling available anywhere, including a thorough update of the book for ORM2, as well as UML2 and E-R (Entity-Relationship) modeling. Includes clear coverage of relational database concepts, and the latest developments in SQL and XML, including a new chapter on the impact of XML on information modeling, exchange and transformation. New and improved case studies and exercises are provided for many topics.

Information Modeling and Relational Databases

Information Modeling and Relational Databases
Author : T. A. Halpin,Terence Aidan Halpin
Publisher : Morgan Kaufmann
Release Date : 2001
Category : Computers
Total pages :763
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Information Modeling and Relational Databases provides an introduction to ORM (Object Role Modeling)-and much more. In fact, it's the only book to go beyond introductory coverage and provide all of the in-depth instruction you need to transform knowledge from domain experts into a sound database design. Inside, ORM authority Terry Halpin blends conceptual information with practical instruction that will let you begin using ORM effectively as soon as possible. Supported by examples, exercises, and useful background information, his step-by-step approach teaches you to develop a natural-language-based ORM model and then, where needed, abstract ER and UML models from it. This book will quickly make you proficient in the modeling technique that is proving vital to the development of accurate and efficient databases that best meet real business objectives. * The most in-depth coverage of Object Role Modeling available anywhere-written by a pioneer in the development of ORM. * Provides additional coverage of Entity Relationship (ER) modeling and the Unified Modeling Language-all from an ORM perspective. * Intended for anyone with a stake in the accuracy and efficacy of databases: systems analysts, information modelers, database designers and administrators, instructors, managers, and programmers. * Explains and illustrates required concepts from mathematics and set theory. * Via a companion Web site, provides answers to exercises, appendices covering the history of computer generations, subtype matrices, and advanced SQL queries, and links to downloadable ORM tools.

Information modeling and relational databases [electronic resource]

Information modeling and relational databases [electronic resource]
Author : T. A. Halpin,A. Antony J. Morgan,Tony Morgan
Publisher : Morgan Kaufmann Pub
Release Date : 2008
Category : Computers
Total pages :943
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A comprehensive overview of ORM (Object-Role Modeling) furnishes all the information, principles, and techniques required to tranform knowledge from domain experts into an effective database design, with helpful guidelines for systems analysts, information modelers, database designers and administrators, and programmers. (Advanced)

Information Modeling Methods and Methodologies: Advanced Topics in Database Research

Information Modeling Methods and Methodologies: Advanced Topics in Database Research
Author : Krogstie, John,Halpin, Terry,Siau, Keng
Publisher : IGI Global
Release Date : 2004-08-31
Category : Business & Economics
Total pages :374
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The purpose of this book is to disseminate the research results and best practice from researchers and practitioners interested in and working on modeling methods and methodologies. Though the need for such studies is well recognized, there is a paucity of such research in the literature. What specifically distinguishes this book is that it looks at various research domains and areas such as enterprise, process, goal, object-orientation, data, requirements, ontology, and component modeling, to provide an overview of existing approaches and best practices in these conceptually closely-related fields. *Note: This book is part of a series entitled ?Advanced Topics in Database Research".

Database Modeling and Design

Database Modeling and Design
Author : Toby J. Teorey,Sam S. Lightstone,Tom Nadeau,H.V. Jagadish
Publisher : Elsevier
Release Date : 2010-08-05
Category : Computers
Total pages :296
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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.

Database Modeling with Microsoft® Visio for Enterprise Architects

Database Modeling with Microsoft® Visio for Enterprise Architects
Author : T. A. Halpin,Terry Halpin,Ken Evans,Pat Hallock,Bill Maclean
Publisher : Morgan Kaufmann
Release Date : 2003-08-28
Category : Computers
Total pages :425
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There is no other manual for the over 200,000 database administrators using Visio.

Handbook of Relational Database Design

Handbook of Relational Database Design
Author : Candace C. Fleming,Barbara Von Halle
Publisher : Addison-Wesley Professional
Release Date : 1989
Category : Computers
Total pages :605
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This book provides a practical and proven approach to designing relational databases. It contains two complementary design methodologies: logical data modeling and relational database design. The design methodologies are independent of product-specific implementations and have been applied to numerous relational product environments. 0201114348B04062001

Beginning Relational Data Modeling

Beginning Relational Data Modeling
Author : Sharon Lee Allen,Evan Terry
Publisher : Apress
Release Date : 2006-11-03
Category : Computers
Total pages :632
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*Immediately accessible to anyone who must design a relational data model—regardless of prior experience *Concise, straightforward explanations to a usually complex/ jargon-rich discipline *Examples are based on extensive author experience modeling for real business systems

Information Modelling and Knowledge Bases XXXI

Information Modelling and Knowledge Bases XXXI
Author : A. Dahanayake,J. Huiskonen,Y. Kiyoki
Publisher : IOS Press
Release Date : 2020-01-06
Category : Computers
Total pages :560
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Information modeling and knowledge bases have become an important area of academic and industry research in the 21st century, addressing complexities of modeling that reach beyond the traditional borders of information systems and academic computer science research. This book presents 32 reviewed, selected and updated papers delivered at the 29th International Conference on Information Modeling and Knowledge Bases (EJC2019), held in Lappeenranta, Finland, from 3 to 7 June 2019. In addition, two papers based on the keynote presentations and one paper edited from the discussion of the panel session are included in the book. The conference provided a forum to exchange scientific results and experience, and attracted academics and practitioners working with information and knowledge. The papers cover a wide range of topics, ranging from knowledge discovery through conceptual and linguistic modeling, knowledge and information modeling and discovery, cross-cultural communication and social computing, environmental modeling and engineering, and multimedia data modeling and systems to complex scientific problem-solving. The conference presentation sessions: Learning and Linguistics; Systems and Processes; Data and Knowledge Representation; Models and Interface; Formalizations and Reasoning; Models and Modeling; Machine Learning; Models and Programming; Environment and Predictions; and Emotion Modeling and Social Networks reflect the main themes of the conference. The book also includes 2 extended publications of keynote addresses: ‘Philosophical Foundations of Conceptual Modeling’ and ́Sustainable Solid Waste Management using Life Cycle Modeling for Environmental Impact Assessment’, as well as additional material covering the discussion and findings of the panel session. Providing an overview of current research in the field, the book will be of interest to all those working with information systems, information modeling and knowledge bases.

SQL & NoSQL Databases

SQL & NoSQL Databases
Author : Andreas Meier,Michael Kaufmann
Publisher : Springer
Release Date : 2019-07-05
Category : Computers
Total pages :229
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This book offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques, and examine coming innovations. The book opens with a broad look at data management, including an overview of information systems and databases, and an explanation of contemporary database types: SQL and NoSQL databases, and their respective management systems The nature and uses of Big Data A high-level view of the organization of data management Data Modeling and Consistency Chapter-length treatment is afforded Data Modeling in both relational and graph databases, including enterprise-wide data architecture, and formulas for database design. Coverage of languages extends from an overview of operators, to SQL and and QBE (Query by Example), to integrity constraints and more. A full chapter probes the challenges of Ensuring Data Consistency, covering: Multi-User Operation Troubleshooting Consistency in Massive Distributed Data Comparison of the ACID and BASE consistency models, and more System Architecture also gets from its own chapter, which explores Processing of Homogeneous and Heterogeneous Data; Storage and Access Structures; Multi-dimensional Data Structures and Parallel Processing with MapReduce, among other topics. Post-Relational and NoSQL Databases The chapter on post-relational databases discusses the limits of SQL – and what lies beyond, including Multi-Dimensional Databases, Knowledge Bases and and Fuzzy Databases. A final chapter covers NoSQL Databases, along with Development of Non-Relational Technologies, Key-Value, Column-Family and Document Stores XML Databases and Graphic Databases, and more The book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading. SQL & NoSQL Databases conveys the strengths and weaknesses of relational and non-relational approaches, and shows how to undertake development for big data applications. The book benefits readers including students and practitioners working across the broad field of applied information technology. This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.

Unified Modeling Language: Systems Analysis, Design and Development Issues

Unified Modeling Language: Systems Analysis, Design and Development Issues
Author : Siau, Keng,Halpin, Terry
Publisher : IGI Global
Release Date : 2000-07-01
Category : Computers
Total pages :288
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UML is a large and complex language, with many features in need of refinement or clarification, and there are different views about how to use UML to build systems. This book sheds light on such issues, by illustrating how UML can be used successfully in practice as well as identifying various problematic aspects of UML and suggesting possible solutions.

Journal of Database Management

Journal of Database Management
Author : Anonim
Publisher : Unknown
Release Date : 2005
Category : Database management
Total pages :129
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Querying XML

Querying XML
Author : Jim Melton,Stephen Buxton
Publisher : Morgan Kaufmann
Release Date : 2011-04-08
Category : Computers
Total pages :848
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XML has become the lingua franca for representing business data, for exchanging information between business partners and applications, and for adding structure– and sometimes meaning—to text-based documents. XML offers some special challenges and opportunities in the area of search: querying XML can produce very precise, fine-grained results, if you know how to express and execute those queries. For software developers and systems architects: this book teaches the most useful approaches to querying XML documents and repositories. This book will also help managers and project leaders grasp how “querying XML fits into the larger context of querying and XML. Querying XML provides a comprehensive background from fundamental concepts (What is XML?) to data models (the Infoset, PSVI, XQuery Data Model), to APIs (querying XML from SQL or Java) and more. * Presents the concepts clearly, and demonstrates them with illustrations and examples; offers a thorough mastery of the subject area in a single book. * Provides comprehensive coverage of XML query languages, and the concepts needed to understand them completely (such as the XQuery Data Model). * Shows how to query XML documents and data using: XPath (the XML Path Language); XQuery, soon to be the new W3C Recommendation for querying XML; XQuery's companion XQueryX; and SQL, featuring the SQL/XML * Includes an extensive set of XQuery, XPath, SQL, Java, and other examples, with links to downloadable code and data samples.

Data Modeling for Quality

Data Modeling for Quality
Author : Graham Witt
Publisher : Technics Publications
Release Date : 2021-01-19
Category : Computers
Total pages :304
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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.

Beginning Database Design

Beginning Database Design
Author : Gavin Powell
Publisher : John Wiley & Sons
Release Date : 2006
Category : Computers
Total pages :467
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