Object-Role Modeling Workbook PDF Download
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Author: Terry Halpin
Publisher: Technics Publications
ISBN: 1634621069
Category : Computers
Languages : en
Pages : 177
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Book Description
Written as a sequel to the author’s previous book Object-Role Modeling Fundamentals, this book briefly reviews the fundamentals of ORM, and then discusses additional topics such as model reports generation, vocabulary glossaries, relational mapping options, annotated relational schemas, schema optimization, and data modeling patterns. Written in easy-to-understand language, it illustrates each topic with simple examples, and explains how to use the freeware NORMA tool to implement the ideas discussed. The book also includes many practical exercises to promote expertise in the techniques covered, with answers provided to all the exercise questions.
Author: Terry Halpin
Publisher: Technics Publications
ISBN: 1634621069
Category : Computers
Languages : en
Pages : 177
Get Book Here
Book Description
Written as a sequel to the author’s previous book Object-Role Modeling Fundamentals, this book briefly reviews the fundamentals of ORM, and then discusses additional topics such as model reports generation, vocabulary glossaries, relational mapping options, annotated relational schemas, schema optimization, and data modeling patterns. Written in easy-to-understand language, it illustrates each topic with simple examples, and explains how to use the freeware NORMA tool to implement the ideas discussed. The book also includes many practical exercises to promote expertise in the techniques covered, with answers provided to all the exercise questions.
Author: T. A. Halpin
Publisher:
ISBN: 9781634621052
Category : Data structures (Computer science)
Languages : en
Pages : 186
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Book Description
Author: Terry Halpin
Publisher: Technics Publications
ISBN: 1634620763
Category : Computers
Languages : en
Pages : 117
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Book Description
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.
Author: Rosado da Cruz, António Miguel
Publisher: IGI Global
ISBN: 1522572724
Category : Computers
Languages : en
Pages : 352
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Book Description
Information modeling plays an important role in every level of the enterprise information system’s architecture. Modeling allows organizations to adapt and become more efficient, helping top managers and engineers outline tactics to reach strategic objectives, understand organizational needs, and design information systems that are aligned with business goals. New Perspectives on Information Systems Modeling and Design is an essential reference source that discusses organizational adaptation through the integration of new information technologies into existing processes and underlying supporting applications. Featuring research on topics such as application integration, change management, and mobile process activities, this book is ideally designed for managers, researchers, system developers, entrepreneurs, graduate-level students, business professionals, information system engineers, and academicians seeking coverage on emerging technological developments and practical solutions for system modeling and design.
Author: Terry Halpin
Publisher: Elsevier
ISBN: 0080508669
Category : Computers
Languages : en
Pages : 792
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Book Description
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.
Author: Terry Halpin
Publisher:
ISBN: 9781634625463
Category : Computers
Languages : en
Pages : 0
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Book Description
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.
Author: Vijay Gadepally
Publisher: Springer Nature
ISBN: 3030337529
Category : Computers
Languages : en
Pages : 296
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Book Description
This book constitutes the refereed post-conference proceedings for the VLBD conference workshops entitled: Towards Polystores That Manage Multiple Databases, Privacy, Security and/or Policy Issues for Heterogenous Data (Poly 2019) and the Fifth International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2019), held in Los Angeles, CA, USA, in August 2019, in conjunction with the 45th International Conference on Very Large Data Bases, VLDB 2019. The 20 regular papers presented together with 2 keynote papers were carefully reviewed and selected from 31 initial submissions. The papers are organized in topical sections named: Poly 2019: Privacy, Security and/or Policy Issues for Heterogenous Data; Building Polystore Systems. DMAH 2019: Database Enabled Biomedical Research; AI for Healthcare; Knowledge Discovery from Unstructured Biomedical Data; Blockchain and Privacy Preserving Data Management.
Author: James Lee
Publisher: Packt Publishing Ltd
ISBN: 1788626087
Category : Computers
Languages : en
Pages : 293
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Book Description
Solve all big data problems by learning how to create efficient data models Key FeaturesCreate effective models that get the most out of big dataApply your knowledge to datasets from Twitter and weather data to learn big dataTackle different data modeling challenges with expert techniques presented in this bookBook Description Modeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements. To start with, you’ll get a quick introduction to big data and understand the different data modeling and data management platforms for big data. Then you’ll work with structured and semi-structured data with the help of real-life examples. Once you’ve got to grips with the basics, you’ll use the SQL Developer Data Modeler to create your own data models containing different file types such as CSV, XML, and JSON. You’ll also learn to create graph data models and explore data modeling with streaming data using real-world datasets. By the end of this book, you’ll be able to design and develop efficient data models for varying data sizes easily and efficiently. What you will learnGet insights into big data and discover various data modelsExplore conceptual, logical, and big data modelsUnderstand how to model data containing different file typesRun through data modeling with examples of Twitter, Bitcoin, IMDB and weather data modelingCreate data models such as Graph Data and Vector SpaceModel structured and unstructured data using Python and RWho this book is for This book is great for programmers, geologists, biologists, and every professional who deals with spatial data. If you want to learn how to handle GIS, GPS, and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful.
Author: Terry Halpin
Publisher: CRC Press
ISBN: 104007569X
Category : Computers
Languages : en
Pages : 352
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Book Description
LogiQL is a new state-of-the-art programming language based on Datalog. It can be used to build applications that combine transactional, analytical, graph, probabilistic, and mathematical programming. LogiQL makes it possible to build hybrid applications that previously required multiple programming languages and databases. In this first book to co
Author: Martine Alaerts
Publisher: Van Haren
ISBN: 9401810109
Category : Architecture
Languages : en
Pages : 121
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Book Description
The Business Object Modelling (BOM) workbook treats the approach used to create and manage the BIAN Reference Data Architecture for the Financial Industry. It treats the added value this model can provide for the Financial Industry and its service providers. However, the applicability of the approach used by BIAN to create and manage its Reference Data Architecture, and the added value of such “enterprise data model”, is not limited to BIAN and the financial industry. The workbook treats the Business Object Modeling Approach and the creation, management and application of an enterprise data model in general, using BIAN as an example. After a short introduction of the general design principles and elements of BIAN’s Reference Architecture for the Financial Industry, the workbook focuses on the Business Object Modeling approach, used to create an enterprise data model, of which the BIAN Business Object Model (BIAN BOM) is one example. The Business Object Modeling approach and its Patterns is explained, illustrated by examples and exercises. This approach supports information analysis and data modeling in general, and is well suited for a step-by-step elaboration of an enterprise data model (such as the BIAN BOM). BIAN’s documentation approach, using the ArchiMate and UML languages, is explained. This approach is used to represent The BIAN BOM and manage it as an “enterprise data model” – BIAN’s Reference Data Architecture for the Financial Industry. Understanding BIAN’s documentation conventions helps the reader in exploiting BIAN’s data-related deliverables and can inspire the elaboration of a documenation approach to manage an organization’s own enterprise data model. The last part of the workbook treats the application of the Business Object Modeling approach and the BIAN BOM – or an organization’s enterprise data model, in general. They can support information analysis and data design as well as Information Governance and Enterprise Data Architecture. They can facilitate the cooperation with partners and service providers. The Business Object Modelling (BOM) workbook accompanies the BIAN Data Architecture & Design Specialist training.
