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Information Modeling And Relational Databases

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Information Modeling and Relational Databases

Information Modeling and Relational Databases Book
Author : Terry Halpin,Tony Morgan
Publisher : Morgan Kaufmann
Release : 2010-07-27
ISBN : 9780080568737
Language : En, Es, Fr & De

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Book Description :

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.

SQL NoSQL Databases

SQL   NoSQL Databases Book
Author : Andreas Meier,Michael Kaufmann
Publisher : Springer
Release : 2019-07-05
ISBN : 3658245492
Language : En, Es, Fr & De

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Book Description :

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.

Selected Readings on Database Technologies and Applications

Selected Readings on Database Technologies and Applications Book
Author : Halpin, Terry
Publisher : IGI Global
Release : 2008-08-31
ISBN : 160566099X
Language : En, Es, Fr & De

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Book Description :

"This book offers research articles focused on key issues concerning the development, design, and analysis of databases"--Provided by publisher.

Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information

Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information Book
Author : Zongmin Ma
Publisher : Springer
Release : 2008-09-12
ISBN : 3540330135
Language : En, Es, Fr & De

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Book Description :

Computer-based information technologies have been extensively used to help industries manage their processes and information systems hereby - come their nervous center. More specially, databases are designed to s- port the data storage, processing, and retrieval activities related to data management in information systems. Database management systems p- vide efficient task support and database systems are the key to impleme- ing industrial data management. Industrial data management requires da- base technique support. Industrial applications, however, are typically data and knowledge intensive applications and have some unique character- tics that makes their management difficult. Besides, some new techniques such as Web, artificial intelligence, and etc. have been introduced into - dustrial applications. These unique characteristics and usage of new te- nologies have put many potential requirements on industrial data mana- ment, which challenge today’s database systems and promote their evolvement. Viewed from database technology, information modeling in databases can be identified at two levels: (conceptual) data modeling and (logical) database modeling. This results in conceptual (semantic) data model and logical database model. Generally a conceptual data model is designed and then the designed conceptual data model will be transformed into a chosen logical database schema. Database systems based on logical database model are used to build information systems for data mana- ment. Much attention has been directed at conceptual data modeling of - dustrial information systems. Product data models, for example, can be views as a class of semantic data models (i. e.

Database Modeling Step by Step

Database Modeling Step by Step Book
Author : Gavin Powell
Publisher : CRC Press
Release : 2019-12-24
ISBN : 1000055604
Language : En, Es, Fr & De

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Book Description :

With the aim of simplifying relational database modeling, Database Modeling Step-by-Step presents the standard approach to database normalization and then adds its own approach, which is a more simplistic, intuitive way to building relational database models. Going from basics to contemporary topics, the book opens with relational data modeling and ends with BigData database modeling following a road map of the evolution in relational modeling and including brief introductions to data warehousing and BigData modeling. A break-down of the elements of a model explains what makes up a relational data model. This is followed by a comparison between standard normalization and a more simplistic intuitive approach to data modeling that a beginner can follow and understand. A brief chapter explains how to use the database programming language SQL (Structured Query Language), which reads from and writes to a relational database. SQL is fundamental to data modeling because it helps in understanding how the model is used. In addition to the relational model, the last three chapters cover important modern world topics including denormalization that leads into data warehouses and BigData database modeling. The book explains how there is not much to logical data modeling in BigData databases because as they are often schema-less, which means that BigData databases do not have schemas embedded into the database itself, they have no metadata and thus not much of a logical data model. Online bonus chapters include a case study that covers relational data modeling and are available at the author’s web site: www.oracletroubleshooter.com/datamodeling.html

Fuzzy XML Data Management

Fuzzy XML Data Management Book
Author : Li Yan,Zongmin Ma,Fu Zhang
Publisher : Springer
Release : 2013-11-25
ISBN : 3642448992
Language : En, Es, Fr & De

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Book Description :

This book presents an exhaustive and timely review of key research work on fuzzy XML data management, and provides readers with a comprehensive resource on the state-of-the art tools and theories in this fast growing area. Topics covered in the book include: representation of fuzzy XML, query of fuzzy XML, fuzzy database models, extraction of fuzzy XML from fuzzy database models, reengineering of fuzzy XML into fuzzy database models, and reasoning of fuzzy XML. The book is intended as a reference guide for researchers, practitioners and graduate students working and/or studying in the field of Web Intelligence, as well as for data and knowledge engineering professionals seeking new approaches to replace traditional methods, which may be unnecessarily complex or even unproductive.

Information Modelling and Knowledge Bases XXV

Information Modelling and Knowledge Bases XXV Book
Author : IOS Press
Publisher : IOS Press
Release : 2014-01-14
ISBN : 1614993610
Language : En, Es, Fr & De

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Book Description :

Because of our ever increasing use of and reliance on technology and information systems, information modelling and knowledge bases continue to be important topics in those academic communities concerned with data handling and computer science. As the information itself becomes more complex, so do the levels of abstraction and the databases themselves. This book is part of the series Information Modelling and Knowledge Bases, which concentrates on a variety of themes in the important domains of conceptual modeling, design and specification of information systems, multimedia information modeling, multimedia systems, ontology, software engineering, knowledge and process management, knowledge bases, cross-cultural communication and context modeling. Theoretical disciplines, including cognitive science, artificial intelligence, logic, linguistics and analytical philosophy, also receive attention. The selected papers presented here cover many areas of information modeling and knowledge bases including: theory of concepts, semantic computing, data mining, context-based information retrieval, ontological technology, image databases, temporal and spatial databases, document data management, software engineering, cross-cultural computing, environmental analysis, social networks, WWW information management, and many others. This new issue also contains papers initiated by the panels on: “Cross-cultural Communication with Icons and Images” and “Conceptual Modelling of Collaboration for Information Systems”. The book will be of interest to all those interested in advances in research and applications in the academic disciplines concerned.

A Guided Tour of Artificial Intelligence Research

A Guided Tour of Artificial Intelligence Research Book
Author : Pierre Marquis,Odile Papini,Henri Prade
Publisher : Springer Nature
Release : 2020-05-08
ISBN : 3030061701
Language : En, Es, Fr & De

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Book Description :

The purpose of this book is to provide an overview of AI research, ranging from basic work to interfaces and applications, with as much emphasis on results as on current issues. It is aimed at an audience of master students and Ph.D. students, and can be of interest as well for researchers and engineers who want to know more about AI. The book is split into three volumes: - the first volume brings together twenty-three chapters dealing with the foundations of knowledge representation and the formalization of reasoning and learning (Volume 1. Knowledge representation, reasoning and learning) - the second volume offers a view of AI, in fourteen chapters, from the side of the algorithms (Volume 2. AI Algorithms) - the third volume, composed of sixteen chapters, describes the main interfaces and applications of AI (Volume 3. Interfaces and applications of AI). This third volume is dedicated to the interfaces of AI with various fields, with which strong links exist either at the methodological or at the applicative levels. The foreword of this volume reminds us that AI was born for a large part from cybernetics. Chapters are devoted to disciplines that are historically sisters of AI: natural language processing, pattern recognition and computer vision, and robotics. Also close and complementary to AI due to their direct links with information are databases, the semantic web, information retrieval and human-computer interaction. All these disciplines are privileged places for applications of AI methods. This is also the case for bioinformatics, biological modeling and computational neurosciences. The developments of AI have also led to a dialogue with theoretical computer science in particular regarding computability and complexity. Besides, AI research and findings have renewed philosophical and epistemological questions, while their cognitive validity raises questions to psychology. The volume also discusses some of the interactions between science and artistic creation in literature and in music. Lastly, an epilogue concludes the three volumes of this Guided Tour of AI Research by providing an overview of what has been achieved by AI, emphasizing AI as a science, and not just as an innovative technology, and trying to dispel some misunderstandings.

Beginning Relational Data Modeling

Beginning Relational Data Modeling Book
Author : Sharon Allen,Sharon Lee Allen,Evan Terry
Publisher : Unknown
Release : 2005-03-24
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

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

XML Data Management

XML Data Management Book
Author : Akmal B. Chaudhri,Awais Rashid,Roberto Zicari
Publisher : Addison-Wesley Professional
Release : 2003
ISBN : 9780201844528
Language : En, Es, Fr & De

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Book Description :

In this book, you will find discussions on the newest native XML databases, along with information on working with XML-enabled relational database systems. In addition, XML Data Management thoroughly examines benchmarks and analysis techniques for performance of XML databases. This book is best used by students that are knowledgeable in database technology and are familiar with XML.

Data Modeling for MongoDB

Data Modeling for MongoDB Book
Author : Steve Hoberman
Publisher : Technics Publications
Release : 2014-06-01
ISBN : 1634620410
Language : En, Es, Fr & De

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Book Description :

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.

Handbook of Relational Database Design

Handbook of Relational Database Design Book
Author : Candace C. Fleming,Barbara Von Halle
Publisher : Addison-Wesley Professional
Release : 1989
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

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

Database Modeling and Design

Database Modeling and Design Book
Author : Toby J. Teorey,Sam Lightstone,Tom Nadeau
Publisher : Elsevier
Release : 2011
ISBN : 0123820200
Language : En, Es, Fr & De

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Book Description :

Database systems and database design technology have undergone significant evolution in recent years. The relational data model and relational database systems dominate business applications; in turn, they are extended by other technologies like data warehousing, OLAP, and data mining. How do you model and design your database application in consideration of new technology or new business needs? In the extensively revised fifth edition, you'll get clear explanations, lots of terrific examples and an illustrative case, and the really practical advice you have come to count on--with design rules that are applicable to any SQL-based system. But you'll also get plenty to help you grow from a new database designer to an experienced designer developing industrial-sized systems. In-depth detail and plenty of real-world, practical examples throughout Loaded with design rules and illustrative case studies that are applicable to any SQL, UML, or XML-based system Immediately useful to anyone tasked with the creation of data models for the integration of large-scale enterprise data.

Advanced Topics in Database Research

Advanced Topics in Database Research Book
Author : Keng Siau
Publisher : Idea Group Publishing
Release : 2006
ISBN : 9781591409359
Language : En, Es, Fr & De

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Book Description :

Advanced Topics in Database Research is a series of books on the fields of database, software engineering, and systems analysis and design. They feature the latest research ideas and topics on how to enhance current database systems, improve information storage, refine existing database models, and develop advanced applications. ""Advanced Topics in Database Research, Volume 5"" is a part of this series. ""Advanced Topics in Database Research, Volume 5"" presents the latest research ideas and topics on database systems and applications, and provides insights into important developments in the field of database and database management. This book describes the capabilities and features of new technologies and methodologies, and presents state-of-the-art research ideas, with an emphasis on theoretical issues regarding databases and database management.

Designing Quality Databases with IDEF1X Information Models

Designing Quality Databases with IDEF1X Information Models Book
Author : Thomas A. Bruce
Publisher : Dorset House
Release : 1992
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Partial ContentsPART ONE1 DATABASE INTRODUCTION2 CONTEXT FOR INFORMATION MODELING3 INFORMATION MODELING BASICSPART TWO4 IDEF1X OVERVIEW5 NAMES AND DEFINITIONS6 ENTITIES, ATTRIBUTES, AND RELATIONSHIPS7 GENERALIZATION8 EDGE OF THE LANGUAGE9 NORMALIZATION AND BUSINESS RULES10 REVERSE ENGINEERING11 FUTURE DIRECTIONS12 OBJECTS AND DMT/2PART THREE13 MARKET BUSINESS MODEL14 MARKET KEY BASED MODEL15 MARKET DATABASEAPPENDICESAPPENDIX A: ZACHMAN'S FRAMEWORKAPPENDIX B: DATA ADMINISTRATIONAPPENDIX C: INFORMATION MODELING SESSIONSAPPENDIX D: IRD RULE SUMMARYAPPENDIX E: COMMERCIAL PRODUCT SUPPORT FOR IDEF1XAPPENDIX F: CASE STUDY SUPPLEMENTARY MATERIALSAPPENDIX G: IBM's REPOSITORY MODELING LANGUAGEGLOSSARYINDEX

The Synthetic Data Vault

The Synthetic Data Vault Book
Author : Neha R. Patki
Publisher : Unknown
Release : 2016
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

The goal of this thesis is to build a system that automatically creates synthetic data for enabling data science endeavors. To meet this goal, we present the Synthetic Data Vault (SDV), a system that builds generative models of relational databases. We are able to sample from the model and create synthetic data, hence the name SDV. When implementing the SDV, we developed an algorithm that computes statistics at the intersection of related database tables. We then use a state-of-the-art multivariate modeling approach to model this data. The SDV iterates through all possible relations, ultimately creating a model for the entire database. Once this model is computed, the same relational information allows the SDV to synthesize data by sampling from any part of the database. After building the SDV, we used it to generate synthetic data for five different publicly available datasets. We then published the datasets and asked data scientists to develop predictive models for them as part of a crowdsourced experiment. On May 18, 2016, preliminary analysis from the ongoing experiment provided evidence that the synthetic data can successfully replace original data for data science. Our analysis indicates that there is no significant difference in the work produced by data scientists who used synthetic data as opposed to real data. We conclude that the SDV is a viable solution for synthetic data generation. Our primary contribution is that we designed and implemented the first generative modeling system for relational databases that demonstratively synthesizes realistic data.

Database Modeling from 0 to 60 in 4 Seconds

Database Modeling from 0 to 60 in 4 Seconds Book
Author : Gavin Powell
Publisher : Createspace Independent Pub
Release : 2012-10-01
ISBN : 9781478279990
Language : En, Es, Fr & De

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Book Description :

This book focuses on the relational database model from the perspective of the data modeling novice, and thus the title Database Modeling from 0 to 60 in 4 Seconds. The objective is to provide an alternative and easy to understand, step-by-step, simple explanation of designing and building relational database models. There are lots of examples and exercises, as well as a multiple chapter case study. People who would benefit from reading this book would be anyone involved with database technology including database administrators, developers, NOVICE data modelers, systems or network administrators, technical managers, marketers, advertisers, forecasters, planners, executives – anyone who doesn't know something about data modeling – and wants to. If You want some kind of clarity to the funny diagrams You see in Your Access database, perhaps built by a programmer, then this book might help You. If You want to know what all that complicated stuff is in the company MySQL, SQL-Server or Oracle database then this book might be a terrific place to start. This book will give enough of an understanding without completely blowing Your mind - and when there are words You've never seen before there is a glossary of terms to explain those words to You. FULL DISCLOSURE: this is a book that is a seriously reworked self-publishing exercise of a book previously printed by a big publisher - this book deserves another attempt. The one thing to remember about this topic is that it's not an exact science and the what and how of data modeling depends upon the application and the circumstances; and I might even tell You sometimes to think about undoing things You've already worked so hard to create and to make Your database perform a little better. So if You're looking for a definitive set of rules You might not like this book. My overall objective in this book is to help people understand data modeling as both a science as well as and an art, by way of tutorial, assuming that after 25 years in the IT field that I might have actually learned a thing or two. This book covers these topics: The History of Database Modeling Databases and Applications The Art of Database Design The Pieces of the Relational Data Model Intuitive Data Modeling and Normalization Reading and Writing Data with SQL Advanced Relational Database Modeling Understanding Data Warehouse Database Modeling Building Faster Performing Database Models Case Study Chapters: Planning and Preparation Creating and Refining Tables Details in Columns and Datatypes Yes this book can be expanded upon in the future but it took about 2 years to get it to this point so let's see how people like this one first.

Database Modeling for Industrial Data Management

Database Modeling for Industrial Data Management Book
Author : Zongmin Ma
Publisher : IGI Global
Release : 2006-01
ISBN : 1591406846
Language : En, Es, Fr & De

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Book Description :

"This book covers industrial databases and applications and offers generic database modeling techniques"--Provided by publisher.

Principles of Database Systems with Internet and Java Applications

Principles of Database Systems with Internet and Java Applications Book
Author : Greg Riccardi
Publisher : Addison Wesley
Release : 2001
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

This book provides a concise and modern treatment of introductory database topics that enlists Java and the Internet to present core Database Management (DBMS) theory from an applications perspective. It incorporates programming and database applications when presenting the core theory behind DBMS and their applications. Information management is the central theme of Principles of Database Systems with Internet and Java Applications. The book motivates the development of data models and the representation of information in relational database systems. Students learn how to define database content with Entity-Relationship models, and how to represent that content in relational systems. They become thoroughly familiar with the SQL language, and learn exactly what is required to build quality information-rich applications. Students also learn how the World Wide Web and Java can work together to publish and collect information in the widest possible context. This book covers the basic material of information management in detail. Topics covered include analyzing information requirements, conceptual data modeling, translation of conceptual models to relational needs, normalization of relational schemas, SQL, and database application programming. Additional topics include object-oriented modeling and object databases, database performance and optimization, constraints and triggers, transactions, and file structures. The interaction between applications and databases is discussed and illustrated in the context of Web sites. The JDBC classes of Java provide a database- and platform-independent method of creating database applications, and all of these classes are thoroughly discussed with abundant examples. After learning the fundamentals of HTML and CGI programming, students create their own Web sites using Java programs to service CGI requests and generate HTML responses. Further topics include the use of Java servlets to replace CGI programs and the use of Java I/O classes for the development of file structures. The Java language provides the foundation for all programming examples because of its portable approach to database access through the JDBC classes. Students do not need extensive experience with Java before using this book, only knowledge of an object-oriented language.

Practical Analysis and Design for Client server and GUI Systems

Practical Analysis and Design for Client server and GUI Systems Book
Author : David A. Ruble
Publisher : Prentice Hall
Release : 1997
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Appropriate for courses in Data Communication and Networking. Witty and informative, this practical guide arms students with the core competencies required to successfully analyze and design today's client/server business information systems, presenting a universal methodology and useful techniques that all developers can use, regardless of the environment they work in.