Data Models White Papers

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ERwin® in the Cloud: How Data Modeling Supports Database as a Service (DaaS) Implementations
sponsored by CA ERwin from CA Technologies
WHITE PAPER: Learn how Data Modeling supports cloud computing since interaction among the Cloud Service Provider, Cloud Administration and Customer needs to include a well thought out data architecture before a DBMS designed offering in cloud computing is deployed. Continue reading to learn more.
Posted: 19 Oct 2010 | Published: 01 Jun 2010

CA ERwin from CA Technologies

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

CA ERwin from CA Technologies

ERwin in the Cloud: How Data Modeling Supports Database as a Service (DaaS) Implementations
sponsored by CA ERwin from CA Technologies
WHITE PAPER: Cloud Computing is an emerging market, and there exist an increasing number of companies that are implementing the cloud model, products and services. Read this white paper to find out more about this exciting new technology.
Posted: 20 Apr 2011 | Published: 20 Apr 2011

CA ERwin from CA Technologies

Data Visualization: 7 Considerations for Visualization Deployment
sponsored by SAS
WHITE PAPER: The following white paper explores the top 7 considerations for implementing a data visualization solution in your enterprise. Learn how data visualization can give way to far deeper insights, better decision making, and much more.
Posted: 05 May 2014 | Published: 28 Apr 2014

SAS

Oracle Business Intelligence Standard One Edition
sponsored by Oracle Corporation
WHITE PAPER: This white paper discusses Oracle Business Intelligence Standard Edition One, a powerful, integrated and comprehensive business intelligence system. Learn how to provide business insight, value, and ease of use for both, end users and administrators.
Posted: 04 Dec 2007 | Published: 03 Dec 2007

Oracle Corporation

Best Practices in Data Management
sponsored by SAS
WHITE PAPER: The key enterprise risk management (ERM) issue for many financial institutions is to get enriched data in a single place in order to report on it. Learn best practices for data management that are critical for ERM.
Posted: 06 Mar 2008 | Published: 01 Jan 2007

SAS

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: 19 Jan 2012

Embarcadero Technologies, Inc.

Business Oriented Information Architecture
sponsored by Sybase, an SAP company
WHITE PAPER: This paper outlines an information architecture (IA) and why it is useful in determining everything from the robustness of IT projects to testing business process scenarios to see if they satisfy the wide-ranging needs of your business. Read this now to learn more about IA, including its basic design, how to start your program and more.
Posted: 17 Apr 2012 | Published: 16 Apr 2012

Sybase, an SAP company

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

CA ERwin from CA Technologies

Help Alleviate Batch Windows with Reliable, Timely Data Delivery
sponsored by IBM
WHITE PAPER: This paper examines the business issues that drive organizations to consider a real-time change data capture solution to optimize ETL processes. This helps alleviate batch windows to enable the delivery of timely, trusted information to the business.
Posted: 24 Mar 2011 | Published: 24 Mar 2011

IBM