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Data Models

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Data ModelsWhite Papers (View All Report Types)
 
Choosing visual properties for successful visualizations
sponsored by IBM
WHITE PAPER: In the following article, IBM experts address a key aspect in the design process.
Posted: 09 Oct 2013 | Published: 09 Oct 2013

IBM

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

CA ERwin from CA Technologies

Top 10 Data Mining Mistakes
sponsored by SAS
WHITE PAPER: In the following paper, we briefly describe, and illustrate from examples, what we believe are the “Top 10” mistakes of data mining, in terms of frequency and seriousness. Most are basic, though a few are subtle. All have, when undetected, left analysts worse off than if they’d never looked at their data.
Posted: 07 Apr 2010 | Published: 07 Apr 2010

SAS

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

Combining Data Profiling and Data Modeling for Better Data Quality
sponsored by CA ERwin®
WHITE PAPER: The combination of data profiling and data modeling is crucial for maintaining the quality of the information that drives your business decisions. Read this paper for more information about solutions that increase the quality fo your critical data assets, increase TCO, and enable consistent visibility into existing and legacy database environments.
Posted: 08 Jun 2010 | Published: 02 Nov 2009

CA ERwin®

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

Oracle Corporation

Mule Studio DataMapper: Graphical Data Mapping for Application Integration
sponsored by MuleSoft
WHITE PAPER: Access the following white paper to uncover several various approaches to successful data mapping. Discover the benefits and drawbacks of each and ultimately, how to decide which approach is right for you and your organization.
Posted: 19 Dec 2013 | Published: 19 Dec 2013

MuleSoft

Transparent Integration and Synchronization of Data with DataXtend Enterprise
sponsored by Progress
WHITE PAPER: Many SOA projects fail due to underestimating requirements for dealing with the data layer of the infrastructure. Learn how to synchronize data in real time across a distributed enterprise, using a transformation system based on a common data model.
Posted: 09 Oct 2006 | Published: 01 Oct 2006

Progress

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

Embarcadero Technologies, Inc.

Windows Azure Storage: A Highly Available Cloud Storage Service with Strong Consistency
sponsored by Microsoft
WHITE PAPER: Read this white paper to learn about the architecture, data model, resource provisioning, load balancing, and replication systems of Windows Azure Storage (WAS), a scalable cloud storage system that provides customers with seemingly limitless data storage, access from anywhere at any time, and the ability to only pay for what they use.
Posted: 25 Apr 2012 | Published: 31 Dec 2011

Microsoft
 
 
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