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Modeling

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Modeling White Papers (View All Report Types)
 
8 Essential Steps to a Smooth Data Migration
sponsored by Syniti
WHITE PAPER: Any new system is only ever as good as the data that’s put in. That rule is especially important for mission-critical applications, like SAP S/4HANA. Download this white paper for 8 steps you can take to ensure a successful data migration, and learn about Syniti, who can help simplify the process by facilitating your transition.
Posted: 23 Dec 2019 | Published: 23 Dec 2019

Syniti

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

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

Noetix: Getting Analytics to Business Users in an Oracle Applications Environment
sponsored by Noetix Corporation
WHITE PAPER: This IDC Vendor Profile highlights the solution offerings and market strategy of Noetix, a business intelligence software vendor.
Posted: 20 Jun 2008 | Published: 01 May 2007

Noetix Corporation

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

IBM

Sybase PowerDesigner for information architecture
sponsored by Sybase, an SAP company
WHITE PAPER: This paper explains how modeling information architecture (IA) can help reduce the costs associated with data management. Read this now and learn about the benefits of implementing IA and how Sybase's option offers modeling support for database design and enterprise architecture.  
Posted: 16 Apr 2012 | Published: 16 Apr 2012

Sybase, an SAP company

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

Embarcadero Technologies, Inc.

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

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
 

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