The UML can be used to describe the complete development of relational and object relational
from business requirements through the physical data model. However, modeling of the
physical data model must express a detailed description of the database. This is done using Rational’s
Data Modeling Profile for the UML2
“ A Developer’s Guide to Data Modeling for SQL Server explains the concepts and practice of data modeling with a clarity that makes the technology accessible to anyone building databases and data-driven applications.
“Eric Johnson and Joshua Jones combine a deep understanding of the science of data modeling with the art that comes with years of experience. If you’re new to data modeling, or find the need to brush up on its concepts, this book is for you.”
—Peter Varhol, Executive Editor, Redmond Magazine ...
After this lecture you should be able to: Describe the primary Vector data models used in GIS and give examples, describe raster data models and give examples, describe TIN data models, explain “topology”, describe the main file formats used in GIS.
We present an implemented XML data model and a new, simpliﬁed query language for multi-level annotated corpora. The new query language involves automatic conversion of queries into the underlying, more complicated MMAXQL query language. It supports queries for sequential and hierarchical, but also associative (e.g. coreferential) relations. The simpliﬁed query language has been designed with non-expert users in mind.
Acquiring information systems specifications from natural language description is presented as a problem class that requires a different treatment of semantics when compared with other applied NL systems such as database and operating system interfaces. Within this problem class, the specific task of obtaining explicit conceptual data models from natural language text or dialogue is being investigated. The knowledge brought to bear on this task is classified into syntactic, semantic and systems analysis knowledge.
After studying this chapter, you should be able to: Discuss the steps for designing and implementing a database system, use the REA data model to design an AIS database, draw an REA diagram of an AIS database, read an REA diagram and explain what it reveals about the business activities and policies of the organization being modeled.
In this paper we discuss the current methods in the representation of corpora annotated at multiple levels of linguistic organization (so-called multi-level or multi-layer corpora). Taking ﬁve approaches which are representative of the current practice in this area, we discuss the commonalities and differences between them focusing on the underlying data models. The goal of the paper is to identify the common concerns in multi-layer corpus representation and processing so as to lay a foundation for a unifying, modular data model. ...
Chapter 4: Object-Oriented Data Modeling includes about Introduction, UML Language, Object-Oriented Modeling, Object Modeling Example, Tranform Class Diagram to Relational Database Schema and some thing else.
Database System: Chapter 2 - The Relational Data Model & SQL includes about Relational Model Concepts, Relational Model Constraints and Relational Database Schemas, Update Operations and Dealing with Constraint Violations, Basic SQL.
Database System: Chapter 5 - Data Modeling Using the (Enhanced) Entity-Relationship (E-ER) Model provides about Example Database Application (COMPANY), ER Model Concepts, ER Diagrams - Notation, ER Diagram for COMPANY Schema, Enhanced Entity Diagram.
In software engineering, an Entity–Relationship model (ER) is a data model for describing the data or information aspects of a business domain or its process requirements, in an abstract way that lends itself to ultimately being implemented in a database such as a relational database.
Chapter 5 - The Relational Data Model and Relational Database Constraints present contents as: Relational model concepts, relational model constraints and relational database schemas, update operations and dealing with constraint violations.
In chapter 3, we follow the traditional approach of concentrating on the database structures and constraints during conceptual database design. The design of application programs is typically covered in software engineering courses. this chapter also present the modeling concepts of the Entity-Relationship (ER) model, which is a popular high-level conceptual data model.
Upon completion of this lesson, the successful participant will be able to: Overview of Relational Data Model, ER and EER-to-Relational mapping, relational algebra. Inviting you to refer lecture for more information.
This chapter introduce ER- & EER-to-Relational Mapping. Upon completion of this lesson, the successful participant will be able to: Overview of Relational Data Model, ER and EER-to-Relational mapping, relational algebra. Inviting you to refer lecture for more information.
Chapter 6 - Developing data models for business databases. Chapter 5 explained the Crow's Foot notation for entity relationship diagrams. You learned about diagram symbols, relationship patterns, generalization hierarchies, and rules for consistency and completeness. Understanding the notation is a prerequisite for applying it to represent business databases. This chapter explains the development of data models for business databases using the Crow's Foot notation and rules to convert ERDs to table designs.
All geographic information systems (GIS) are built
using formal models that describe how things are
located in space. A formal model is an abstract and
well-defined system of concepts. It defines the
vocabulary that we can use to describe and reason
about things. A geographic data model defines the
vocabulary for describing and reasoning about the
things that are located on the earth. Geographic data
models serve as the foundation on which all
geographic information systems are built.
We are all familiar with one model for geographic
Data Modeling Techniques for Data Warehousing
Chuck Ballard, Dirk Herreman, Don Schau, Rhonda Bell, Eunsaeng Kim, Ann Valencic
International Technical Support Organization http://www.redbooks.ibm.com
International Technical Support Organization
Data Modeling Techniques for Data Warehousing February 1998
.Take Note! Before using this information and the product it supports, be sure to read the general information in Appendix B, “Special Notices” on page 183.
Project name "Database Model" a description of the persistent data storage perspective of the system. This view is OPTIONAL if there is little or no persistent data, or the translation between the Design Model and the Data Model is trivial.
This book is about tuning Oracle databases. Three areas of Oracle Database tuning are data model tuning, SQL code tuning, and physical and configuration tuning. The author began his career as an applications developer, not as a systems or network administrator. As a result, this book is written from an applications rather than an operating system perspective.