Database Modeling & Design


Author: Toby J. Teorey
Publisher: Morgan Kaufmann
ISBN: 9781558605008
Category: Computers
Page: 366
View: 5292
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This new edition of Database Modeling & Design continues to focus on the techniques for relational database design introduced in previous editions, starting with the entity-relationship (ER) approach for data requirements specification and conceptual modeling. Author Toby Teorey then looks ahead to the common properties in data modeling and operations shared among the relational model and advanced database technologies such as the object-oriented, temporal, and multimedia models. A full chapter is devoted to database design techniques for data warehousing and online analytical processing (OLAP). Teorey covers the database life cycle from requirements analysis and logical design to physical design for local, distributed, and multidatabases. The discussion of basic principles is supplemented with a common, running example: a company personnel and project database based on real-life experiences and classroom testing. Written for both the novice and the professional database designer, this book is the essential resource for database modeling, including the building of standard SQL data definitions. The design rules set forth in this book are applicable to any SQL-based system, including IBM DB2, Oracle V8.0, Informix IDS-UDO, Microsoft Access, Microsoft SQL Server, and Sybase Adaptive Server Enterprise. * Continued focus on relational model * Integration of information about data warehouse and OLAP, plus other advanced database technologies, including object oriented, multimedia, and temporal database * Discussion of basic principles is supplemented by examples based on real life cases

Database Modeling & Design

Logical Design
Author: Toby J. Teorey,Sam Lightstone,Tom Nadeau
Publisher: Morgan Kaufmann Pub
ISBN: 9780126853520
Category: Computers
Page: 275
View: 5614
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Database systems and database design technology have undergone significant evolution in recent years. This extensively revised edition contains clear explanations, examples and an illustrative case, and practical advice with design rules that are applicable to any SQL-based system, assisting readers in growing from a new database designer to an experienced designer developing industrial-sized systems.

Data Modeling and Design for Today's Architectures


Author: Angelo R. Bobak
Publisher: Artech House Publishers
ISBN: 9780890068779
Category: Computers
Page: 504
View: 9282
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Written for database novices and pros alike, this new book helps you strengthen your command of the underlying theory and practical techniques associated with data modeling and design -- and shows you how to better apply these concepts to today's newest database architectures.

Data Modeling and Database Design


Author: Narayan S. Umanath,Richard W. Scamell
Publisher: Cengage Learning
ISBN: 1305177541
Category: Computers
Page: 720
View: 5750
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DATA MODELING AND DATABASE DESIGN presents a conceptually complete coverage of indispensable topics that each MIS student should learn if that student takes only one database course. Database design and data modeling encompass the minimal set of topics addressing the core competency of knowledge students should acquire in the database area. The text, rich examples, and figures work together to cover material with a depth and precision that is not available in more introductory database books. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

UML and Data Modeling

A Reconciliation
Author: David C. Hay
Publisher: Technics Publications
ISBN: 1634620712
Category: Computers
Page: 242
View: 9000
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Here you will learn how to develop an attractive, easily readable, conceptual, business-oriented entity/relationship model, using a variation on the UML Class Model notation. This book has two audiences: • Data modelers (both analysts and database designers) who are convinced that UML has nothing to do with them; and • UML experts who don’t realize that architectural data modeling really is different from object modeling (and that the differences are important). David Hay’s objective is to finally bring these two groups together in peace. Here all modelers will receive guidance on how to produce a high quality (that is, readable) entity/relationship model to describe the data architecture of an organization. The notation involved happens to be the one for class models in the Unified Modeling Language, even though UML was originally developed to support object-oriented design. Designers have a different view of the world from those who develop business-oriented conceptual data models, which means that to use UML for architectural modeling requires some adjustments. These adjustments are described in this book. David Hay is the author of Enterprise Model Patterns: Describing the World, a comprehensive model of a generic enterprise. The diagrams were at various levels of abstraction, and they were all rendered in the slightly modified version of UML Class Diagrams presented here. This book is a handbook to describe how to build models such as these. By way of background, an appendix provides a history of the two groups, revealing the sources of their different attitudes towards the system development process. If you are an old-school ER modeler and now find yourself having to come up to speed on UML to get that next job (or keep the current one), this is your guidebook to success. If you are a long time object oriented programmer who has to interact with data modelers, this book is for you too. David has done the hard work of mapping out how to do a logical entity relationship model using standard (and accepted) UML diagram components. This book shows you step-by-step, with ample examples, how to get from here to there with the least pain possible for all concerned. Kent Graziano Certified Data Vault Master and Oracle ACE Past-President of ODTUG & RMOUG Brilliantly organized: three books hidden in one cohesive work. Not withstanding the tremendous value provided by cross-training data architects/modelers and object modelers/architects, making each better at what they do, Appendix B presents an absolutely awesome concise, yet detailed, history of modeling objects and data that clearly documents the differences in the approaches over the years and helps bring it all into perspective. This book is packed with useful information. Even the footnotes add clarity and offer interesting and often humorous editorial insight making it a fun read. Whatever viewpoint the reader is coming from this book has something to offer as long as the reader maintains an open mind. Roland Berg Senior Architect Diligent Consulting, Inc. San Antonio, Texas

Modeling and Designing Accounting Systems

Using Access to Build a Database
Author: C. Janie Chang,Laura R. Ingraham
Publisher: Wiley
ISBN: N.A
Category: Business & Economics
Page: 149
View: 3172
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Get the database skills that are in demand More and more organizations are turning to database management systems to manage their accounting and other operational data. These organizations are looking for accountants with database skills and a good understanding of information technology. With Chang and Ingraham's Data Modeling and Database Design: Using Access to Build a Database you can develop the skills needed to build an actual accounting information system. Taking an approach that is both conceptual and practical, this book will help you understand the theory of data modeling, as well as its application and ultimate implementation in database design. Key Features: * Step-by-step detailed instructions show how to model and design three essential processes of an accounting information system: the sales/collection process, the acquisition/payment process, and the human resources/payroll process. * Presents data modeling from an REA (resource-event-agent) perspective. * The approach is software-independent, but utilizes Microsoft Access 2003 to implement the data models throughout the text. * Multiple-choice and detailed problems at the end of each chapter reinforce learning. * Includes a CD-ROM containing the additional data and forms you will need to complete each chapter.

Data Modeling, A Beginner's Guide


Author: Andy Oppel
Publisher: McGraw Hill Professional
ISBN: 007162399X
Category: Computers
Page: 368
View: 6233
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Essential Skills--Made Easy! Learn how to create data models that allow complex data to be analyzed, manipulated, extracted, and reported upon accurately. Data Modeling: A Beginner's Guide teaches you techniques for gathering business requirements and using them to produce conceptual, logical, and physical database designs. You'll get details on Unified Modeling Language (UML), normalization, incorporating business rules, handling temporal data, and analytical database design. The methods presented in this fast-paced tutorial are applicable to any database management system, regardless of vendor. Designed for Easy Learning Key Skills & Concepts--Chapter-opening lists of specific skills covered in the chapter Ask the expert--Q&A sections filled with bonus information and helpful tips Try This--Hands-on exercises that show you how to apply your skills Notes--Extra information related to the topic being covered Self Tests--Chapter-ending quizzes to test your knowledge Andy Oppel has taught database technology for the University of California Extension for more than 25 years. He is the author of Databases Demystified, SQL Demystified, and Databases: A Beginner's Guide, and the co-author of SQL: A Beginner's Guide, Third Edition, and SQL: The Complete Reference, Third Edition.

Information Modeling and Relational Databases


Author: Terry Halpin,Tony Morgan
Publisher: Morgan Kaufmann
ISBN: 9780080568737
Category: Computers
Page: 976
View: 1129
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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.

Hands-On Big Data Modeling

Effective database design techniques for data architects and business intelligence professionals
Author: James Lee,Tao Wei,Suresh Kumar Mukhiya
Publisher: Packt Publishing Ltd
ISBN: 1788626087
Category: Computers
Page: 306
View: 756
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Solve all big data problems by learning how to create efficient data models Key Features Create effective models that get the most out of big data Apply your knowledge to datasets from Twitter and weather data to learn big data Tackle different data modeling challenges with expert techniques presented in this book Book 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 learn Get insights into big data and discover various data models Explore conceptual, logical, and big data models Understand how to model data containing different file types Run through data modeling with examples of Twitter, Bitcoin, IMDB and weather data modeling Create data models such as Graph Data and Vector Space Model structured and unstructured data using Python and R Who 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.

UML Database Modeling Workbook


Author: Michael Blaha
Publisher: Technics Publications
ISBN: 1634620720
Category: Computers
Page: 220
View: 4223
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With our appetites for data on the rise, it has become more important than ever to use UML (Unified Modeling Language) to capture and precisely represent all of these data requirements. Learn how to construct UML data models by working through a series of exercises and self-assessment tests. Beginners can learn the UML directly. Experienced modelers can leverage their understanding of existing database notations, as the book extensively compares the UML to traditional data modeling (Information Engineering). 1. Discover a new way of representing data requirements and communicating better with your business customers. 2. Understand what UML constructs mean and how to properly use them. 3. Learn subtleties of the UML. Become a power UML developer. 4. Practice constructing data models with the exercises. The back of the book answers every exercise. 5. Assess your mastery of the material. Each part has a multiple-choice test that can quantify your understanding. 6. Improve your ability to abstract – think about different ways of representation – as you construct data models. 7. Measure the quality of your data models. 8. Be able to create database designs (DDL code) starting from a UML data model. 9. Be able to write SQL database queries using a data model as a blueprint. 10. Know the differences among operational models, data warehouse models, enterprise models, and master models. They are all aspects of data modeling. This book is concise and to the point. You will learn by induction through reading, practice, and feedback.

Fuzzy Databases: Modeling, Design and Implementation

Modeling, Design and Implementation
Author: Galindo, José
Publisher: IGI Global
ISBN: 159140326X
Category: Computers
Page: 321
View: 6029
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"This book includes an introduction to fuzzy logic, fuzzy databases and an overview of the state of the art in fuzzy modeling in databases"--Provided by publisher.

Conceptual Data Modeling and Database Design: A Fully Algorithmic Approach, Volume 1

The Shortest Advisable Path
Author: Christian Mancas
Publisher: CRC Press
ISBN: 1498728448
Category: Computers
Page: 698
View: 4096
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This new book aims to provide both beginners and experts with a completely algorithmic approach to data analysis and conceptual modeling, database design, implementation, and tuning, starting from vague and incomplete customer requests and ending with IBM DB/2, Oracle, MySQL, MS SQL Server, or Access based software applications. A rich panoply of solutions to actual useful data sub-universes (e.g. business, university, public and home library, geography, history, etc.) is provided, constituting a powerful library of examples. Four data models are presented and used: the graphical Entity-Relationship, the mathematical EMDM, the physical Relational, and the logical deterministic deductive Datalog ones. For each one of them, best practice rules, algorithms, and the theory beneath are clearly separated. Four case studies, from a simple public library example, to a complex geographical study are fully presented, on all needed levels. Several dozens of real-life exercises are proposed, out of which at least one per chapter is completely solved. Both major historical and up-to-date references are provided for each of the four data models considered. The book provides a library of useful solutions to real-life problems and provides valuable knowledge on data analysis and modeling, database design, implementation, and fine tuning.

Data Model Patterns: A Metadata Map


Author: David C. Hay
Publisher: Elsevier
ISBN: 9780080477039
Category: Computers
Page: 432
View: 6423
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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

Handbook of Relational Database Design


Author: Candace C. Fleming
Publisher: Addison-Wesley Professional
ISBN: N.A
Category: Computers
Page: 605
View: 3601
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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

The Data Model Resource Book

A Library of Logical Data Models and Data Warehouse Designs
Author: Len Silverston,W. H. Inmon,Kent Graziano
Publisher: Wiley
ISBN: 9780471153641
Category: Computers
Page: 368
View: 3520
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Proven data models that save companies' time and money developing data architectures, databases and data warehouses. The Data Model Resource Book provides a common set of data models for specific functions common to most businesses, such as sales, marketing, order processing, contracts, shipments, invoicing, work efforts, budgeting, and accounting. Readers can apply more than one data model to their own company to meet specific data needs. A CD-ROM ,sold separately, contains the SQL for all of the data models contained in the book in Oracle, Sybase, Informix, Microsoft SQL Server and ANSI compatable formats.

Grundlagen von Datenbanksystemen


Author: Ramez Elmasri,Sham Navathe
Publisher: Pearson Deutschland GmbH
ISBN: 9783868940121
Category:
Page: 550
View: 3859
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Data Modeling for the Business

A Handbook for Aligning the Business with IT using High-Level Data Models
Author: Steve Hoberman,Donna Burbank,Chris Bradley
Publisher: Technics Publications
ISBN: 1634620437
Category: Computers
Page: 288
View: 974
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Did you ever try getting Businesspeople and IT to agree on the project scope for a new application? Or try getting Marketing and Sales to agree on the target audience? Or try bringing new team members up to speed on the hundreds of tables in your data warehouse — without them dozing off? Whether you are a businessperson or an IT professional, you can be the hero in each of these and hundreds of other scenarios by building a High-Level Data Model. The High-Level Data Model is a simplified view of our complex environment. It can be a powerful communication tool of the key concepts within our application development projects, business intelligence and master data management programs, and all enterprise and industry initiatives. Learn about the High-Level Data Model and master the techniques for building one, including a comprehensive ten-step approach and hands-on exercises to help you practice topics on your own. In this book, we review data modeling basics and explain why the core concepts stored in a high-level data model can have significant business impact on an organization. We explain the technical notation used for a data model and walk through some simple examples of building a high-level data model. We also describe how data models relate to other key initiatives you may have heard of or may be implementing in your organization. This book contains best practices for implementing a high-level data model, along with some easy-to-use templates and guidelines for a step-by-step approach. Each step will be illustrated using many examples based on actual projects we have worked on. Names have been changed to protect the innocent, but the pain points and lessons have been preserved. One example spans an entire chapter and will allow you to practice building a high-level data model from beginning to end, and then compare your results to ours. Building a high-level data model following the ten step approach you’ll read about is a great way to ensure you will retain the new skills you learn in this book. As is the case in many disciplines, using the right tool for the right job is critical to the overall success of your high-level data model implementation. To help you in your tool selection process, there are several chapters dedicated to discussing what to look for in a high-level data modeling tool and a framework for choosing a data modeling tool, in general. This book concludes with a real-world case study that shows how an international energy company successfully used a high-level data model to streamline their information management practices and increase communication throughout the organization—between both businesspeople and IT. Data modeling is one of the under-exploited, and potentially very valuable, business capabilities that are often hidden away in an organization’s Information Technology department. Data Modeling for the Business highlights both the resulting damage to business value, and the opportunities to make things better. As an easy-to follow and comprehensive guide on the ‘why’ and ‘how’ of data modeling, it also reminds us that a successful strategy for exploiting IT depends at least as much on the information as the technology. Chris Potts, Corporate IT Strategist and Author of fruITion: Creating the Ultimate Corporate Strategy for Information Technology One of the most critical systems issues is aligning business with IT and fulfilling business needs using data models. The authors of Data Modeling for the Business do a masterful job at simply and clearly describing the art of using data models to communicate with business representatives and meet business needs. The book provides many valuable tools, analogies, and step-by-step methods for effective data modeling and is an important contribution in bridging the much needed connection between data modeling and realizing business requirements. Len Silverston, author of The Data Model Resource Book series

Oracle Quick Guides - Part 2 - Oracle Database Design


Author: Malcolm Coxall
Publisher: Malcolm Coxall - Cornelio Books
ISBN: 8494085352
Category: Computers
Page: 80
View: 8408
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This is Part 2 of a series of quick learning guides for Oracle designers, developers & managers. Part 2 introduces completely new entrants to concepts of Oracle database analysis and design, database normalisation, the logical data model, E-R modelling and diagrams, logical to physical transformation in Oracle Designer, physical database design,de-normalization and database design for performance.

Physical Database Design

The Database Professional's Guide to Exploiting Indexes, Views, Storage, and More
Author: Sam S. Lightstone,Toby J. Teorey,Tom Nadeau
Publisher: Morgan Kaufmann
ISBN: 9780080552316
Category: Computers
Page: 448
View: 633
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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!