Conceptual Data Modeling White Papers

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Rapid-deployment Solution for Mobile Analytics Visualization
sponsored by Hewlett-Packard Enterprise
WHITE PAPER: In this white paper, discover a rapid-deployment technology for mobile analytics visualization, so you can take full advantage of data visualization capabilities anywhere, at any time. Explore the benefits you'll get with rapid-deployment, and learn how easy it is to get a mobile analytics strategy up and running within two weeks.
Posted: 24 Feb 2014 | Published: 31 Oct 2013

Hewlett-Packard Enterprise

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

Accelerating Application Deployment with InfoSphere Foundation Tools
sponsored by IBM
WHITE PAPER: Despite criticism of application development methodology over the years, some fundamental problems haven’t been addressed successfully. This paper examines a new direction supported by the IBM InfoSphere Foundation Tools. These tools provide a coordinated approach well-suited to the special needs of contemporary information-centric development.
Posted: 16 Aug 2010 | Published: 13 Aug 2010

IBM

Competitive Analysis of Market Leaders in Data Modeling: PowerDesigner, ERwin and ER/Studio
sponsored by Sybase, an SAP company
WHITE PAPER: Read this paper to learn all the factors you need to consider when choosing a data modeling tool. You will learn about the different model types and how each tool measures up to the demanding needs of your company today and in the future. This paper will lay out all the information you need to make a clear decision on data modeling today.
Posted: 09 Jun 2009 | Published: 09 Jun 2009

Sybase, an SAP company

Relational Modeling with UML
sponsored by IBM Software Group
WHITE PAPER: This white paper explains the basic concepts behind relational modeling, how it applies to databases and how it is implemented using UML.
Posted: 20 Jun 2007 | Published: 01 Jan 2003

IBM Software Group

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

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: 19 Oct 2010 | Published: 01 Aug 2010

CA ERwin from CA Technologies

Driving Strategic Planning with Predictive Modeling
sponsored by Oracle Corporation
WHITE PAPER: Uncertainty makes strategic planning complex. Removing uncertainty can create unlimited business value. There are solutions to help organizations overcome uncertainty and achieve results. Read this white paper to learn how to drive strategic planning with predictive modeling.
Posted: 18 May 2010 | Published: 18 Jul 2008

Oracle Corporation

Does Data Modeling Still Matter Amid the Market Shift to XML, NoSQL,Big Data, and the Cloud?
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER: Many organizations have reconsidered their commitments to data modeling in the face of NoSQL and big data systems, as well as XML information management. However, should you really be shifting focus away from data modeling?
Posted: 24 Feb 2014 | Published: 24 Feb 2014

Embarcadero Technologies, Inc.

IBM Information Server FastTrack
sponsored by IBM
WHITE PAPER: This white paper describes how IBM's Information Server FastTrack accelerates the translation of business requirements into data integration projects. Data integration projects require collaboration across analysts, data modelers and developers.
Posted: 13 Aug 2008 | Published: 13 Aug 2008

IBM