Data Modeling White Papers

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Feb 10, 2012

IT Management > Systems Design and Development > Application Development > Database Design >
Data Modeling
DEFINITION: Also see: Unified Modeling Language (UML).Data modeling is the analysis of data objects that are used in a business or other context and the identification of the relationships among these data objects. Data modeling is a first step in doing object-oriented programming. As a result of data modeling, you can then define the classes that provide the templates for program objects.A simple approach … Definition continues below.
Data Modeling White Papers (View All Report Types)
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Enterprise Data Modeling: 7 Mistakes You Can’t Afford to Make sponsored by Embarcadero Technologies, Inc. WHITE PAPER: This white paper discusses the obstacles of enterprise data modeling. Posted: 02 Feb 2012 \| Published: 02 Feb 2012 TOPICS: Architectures \| Data Management \| Data Modeling \| Data Modeling Languages \| Data Stewardship \| Data Visualization \| Data Warehouses \| Database Management \| Databases

Does Data Modeling Still Matter, Amid the Market Shift to XML, NoSQL, Big Data, and the Cloud? sponsored by Embarcadero Technologies, Inc. WHITE PAPER: This white paper discusses the market shift from data modeling to XML, NOSQL, big data and the cloud, and whether data modeling has a purpose in today's data management market. Posted: 02 Feb 2012 \| Published: 02 Feb 2012 TOPICS: Data Analytics \| Data Management \| Data Mining \| Data Modeling \| Data Warehouses \| Databases

Embarcadero ER/Studio 9.0.1 vs. Computer Associates ERwin r8 sponsored by Embarcadero Technologies, Inc. WHITE PAPER: This document provides a comparative review of two of the leading data modeling software tools, Embarcadero’s ER/Studio and Computer Associates’ ERwin. An Oracle database backend was used to complete the review process. Posted: 02 Feb 2012 \| Published: 02 Feb 2012 TOPICS: Architectures \| Data Analytics \| Data Integration \| Data Modeling \| Data Visualization \| Databases

Fast-Tracking Data Warehousing & BI Projects via Intelligent Data Modeling sponsored by Embarcadero Technologies, Inc. WHITE PAPER: In this white paper, you will learn intelligent data modeling practices to design and deliver superior business intelligence (BI) faster, the characteristics and benefits of intelligent data modeling and how to promote the use of data models to fast-track data warehouse and BI projects. Posted: 26 Jan 2012 \| Published: 26 Jan 2012 TOPICS: Business Intelligence \| Data Center Networking \| Data Management \| Data Migration \| Data Mining \| Data Modeling \| Data Warehouse Architectures \| Data Warehouses \| Databases

Data Warehousing 2.0- Modeling and Metadata Strategies for Next Generation Architectures sponsored by Embarcadero Technologies, Inc. WHITE PAPER: Read this white paper and learn how the data warehouse, metadata and modeling environment will be transformed in the next few years — and what you need to do to leverage it for your business, the major components of DW 2.0 architectures, and key modeling and metadata management strategies for DW 2.0. Posted: 26 Jan 2012 \| Published: 26 Jan 2012 TOPICS: Data Management \| Data Mining \| Data Modeling \| Data Quality \| Data Storage \| Data Warehouse Architectures \| Data Warehouses

A Usability Comparison of the Top Three Data Modeling Tools sponsored by CA ERwin from CA Technologies WHITE PAPER: Read this white paper to get a comparison of data modeling tools. Posted: 20 Oct 2011 \| Published: 20 Oct 2011 TOPICS: Data Integration \| Data Management \| Data Management Software \| Data Modeling \| ETL (Software) \| Metadata

Top 10 Root Causes of Data Quality Problems sponsored by Talend WHITE PAPER: This white paper discusses the top ten root causes of data quality problems and suggests steps the business can implement to prevent them. Posted: 01 Aug 2011 \| Published: 01 Aug 2011 TOPICS: Data Management \| Data Management Software \| Data Migration \| Data Modeling \| Data Quality \| Transaction Processing Services

Best Practices for Implementing a Data Warehouse on Oracle Exadata Database Machine sponsored by Oracle Corporation WHITE PAPER: By using the Oracle Exadata Database Machine as a data warehouse platform you have a balanced, high performance hardware configuration. This paper focuses on the other two corner stones, data modeling and data loading, providing a set of best practices and examples for deploying a data warehouse on the Oracle Exadata Database Machine. Posted: 25 Apr 2011 \| Published: 25 Apr 2011 TOPICS: Data Modeling \| Data Warehouses \| Database Performance Management \| Database Performance Management Software \| Databases \| Hardware \| Hardware Configuration Management \| Hardware Management \| OLTP \| Oracle (Product)

Ten Things to Avoid in a Data Model sponsored by CA ERwin from CA Technologies WHITE PAPER: The construction of a data model is one of the more difficult tasks of software engineering and is often pivotal to the success or failure of a project. Many factors determine the effectiveness of a data model. In this white paper, industry expert Michael Blaha covers the Top 10 pitfalls to avoid - from both the strategy and detail perspective. Posted: 20 Apr 2011 \| Published: 20 Apr 2011 TOPICS: Business Process Management \| Data Center Management \| Data Management \| Data Management Software \| Data Modeling \| Data Quality

The Benefits of Data Modeling in Business Intelligence sponsored by CA ERwin from CA Technologies WHITE PAPER: Through data modeling of BI systems, we can meet many of today’s data challenges. Through logical and physical modeling of business intelligence systems, we can enable the delivery of the correct business information to business users. Read this paper to learn more. Posted: 08 Jun 2010 \| Published: 08 Jun 2010 TOPICS: Business Intelligence \| Business Intelligence Software \| Business Management \| Data Management \| Data Modeling \| Systems Management

How to ensure data privacy compliance in the application testing environment sponsored by Compuware Corporation WHITE PAPER: This paper discusses a five-step best practices approach to implementing a cost-effective and timely data privacy solution. It also details a brief case study illustrating how Compuware’s combination of tools, technology, best practices and customized services can save time and money. Posted: 20 Oct 2009 \| Published: 20 Oct 2009 TOPICS: Best Practices \| Business Performance Management \| Business Processes \| Compliance (Finance) \| Data Modeling \| Gramm-Leach-Bliley Act \| HIPAA Compliance

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DATA MODELING DEFINITION (continued): … to creating a data model that allows you to visualize the model is to draw a square (or any other symbol) to represent each individual data item that you know about (for example, a product or a product price) and then to express relationships between each of these data items with words such as "is part of" or "is used by" or "uses" and so forth. From such a total description, you can create a set of classes and subclasses that define all the general relationships. These then become the templates for objects that, when executed as a program, handle the variables of new transactions and other …
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