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Data Architecture

Origins of Logical and Physical Data Modeling

Knowing the origins of logical and physical data modeling concepts and techniques can help data architects and data analysts understand the field of data management and the relationship between data modeling and other data disciplines In the early days of

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Data Architecture: What It Is and Why You Need It

Every organization, of every size and industry, needs an enterprise data architecture to become a more data-driven enterprise. In a digital economy, enterprises of every size and industry strive to maximize the value of data for improved business performance. Data

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Conceptual Data Modelling Starts with Business Use Cases

Conceptual Data Modeling Starts with Business Use Cases

Business analysis efforts should start with a conceptual data model based on use case content Successful business analysis requires understanding of business. One of the essential tools for understanding a business is a conceptual data model. Even though conceptual models

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An Explanation of Enterprise Architecture

Architecture is not what is tangible, that is the result of architecture.  Architecture is the set of descriptive representations that are required to create an object There appears to be a gross misunderstanding about Architecture, particularly in the information technology

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Type of data model

Data Models Ensure Successful Migrations

When migrating data across platforms, it is critically important to have three full data models to support the effort, with the relevant metadata.  Having these models will reduce time, costs, and effort needed to perform the migration successfully. Introduction Migrating

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Physical Data Modeling

Physical data models should follow the logical data model as closely as possible, while adding the optimizing items to conform to a specific database and platform. Introduction Physical data modeling involves transforming the logical model from a purely business design

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Logical and Physical Data Modeling Overview

Logical and physical data modeling are essential components of every organization’s enterprise data architecture and should form the foundation of every database design.  Standard techniques for logical and physical data modeling enable consistent development and usability. Even though the concept

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The Power of Abstraction in Data Modeling

Abstraction is a powerful design tactic for creating flexible, robust and scalable data warehouse data models Introduction I remember meandering through the large galleries of a modern art museum, and stopping in my tracks in front of a very large

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Enterprise Data Modeling

Enterprise data modeling is an essential component of strong enterprise data architecture, with subject, conceptual and enterprise logical models based on business concepts and requirements In many organizations, there is no way to understand the scope and variety of the

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How Modeling adds Value to a Data Dictionary

A well-modeled data dictionary can provide lasting value and ensure consistency of use throughout an organization for all data elements. Introduction The primary purpose organizations create and maintain a data dictionary is to standardize data content , context, and definitions

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