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Data Models

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Data ModelsWhite Papers (View All Report Types)
 
Building a Business Case for Data Governance: Ten Critical Steps
sponsored by Information Builders
WHITE PAPER: This resource counts down 10 key steps that will help you build the business case for data governance in your organization. Also inside, learn about tools and tactics that will ensure your data governance project is a success.
Posted: 01 May 2013 | Published: 31 Dec 2012

Information Builders

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

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

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.

Questions and Answers on Data Center Cooling Issues
sponsored by Upsite Technologies, Inc.
WHITE PAPER: Uneven cooling is a very common problem that is likely to get much worse as server-farm power consumption rises due to increased rack heights, more equipment within racks, and increasing equipment power consumption.
Posted: 18 Feb 2008 | Published: 01 Jan 2007

Upsite Technologies, Inc.

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

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

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.

IBM InfoSphere DataStage Performance and Scalability Benchmark White Paper 
sponsored by IBM
WHITE PAPER: This paper highlights the performance and scalability potential of InfoSphere DataStage 8.1 based on a benchmark test simulating a data warehouse scenario. The benchmark is designed to use the profiled situation to provide insight about how InfoSphere DataStage addresses customers' key FAQs when designing their information integration architecture.
Posted: 24 Mar 2011 | Published: 24 Mar 2011

IBM

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
 
 
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