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: 31 Jan 2012
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Information-led Transformation Planning, Modeling and Building New Intelligence Applications
sponsored by IBM
WHITE PAPER:
This white paper discusses: What is an industry model? What is the value of industry models? Considerations for building or buying data models IBM Industry Models—business and technical blueprints Reducing time to value with IBM Industry Models
Posted: 24 Mar 2011 | Published: 24 Mar 2011
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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
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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
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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: 12 Mar 2012 | Published: 30 Sep 2010
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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
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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
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The Return on Investment (ROI) of Data Modeling
sponsored by CA ERwin from CA Technologies
WHITE PAPER:
Without a clear understanding of the meaning and rules around this data, business decisions can be negatively affected. Data modeling is a time-proven method for understanding data, its interrelationships and its rules. Data management professionals have long understood the value of data modeling.
Posted: 19 Oct 2010 | Published: 01 Mar 2010
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Fast-Tracking Data Warehousing & Business Intelligence Projects via Intelligent Data Modeling
sponsored by Embarcadero Technologies, Inc.
WHITE PAPER:
Often times Business Intelligence (BI) projects miss the mark with their business users because the proper documenting of required data and related business rules is not executed. This paper looks at fast-tracking data warehousing and BI projects using data modeling.
Posted: 15 Jun 2011 | Published: 01 Jan 2010
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Improving Data Quality Through Data Modeling
sponsored by CA ERwin from CA Technologies
WHITE PAPER:
Enterprise data is largely falling short of a standard that makes it possible to utilize in how business will be conducted in the next decade. Most enterprise data is “adequate” for basic operational needs today. Download this paper to learn how to get the most out of your enterprise data.
Posted: 20 Apr 2011 | Published: 20 Apr 2011
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