Modeling White Papers

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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

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: 25 Apr 2011 | Published: 30 Nov 2010

Oracle Corporation

Help Alleviate Batch Windows with Reliable, Timely Data Delivery
sponsored by IBM
WHITE PAPER: This paper examines the business issues that drive organizations to consider a real-time change data capture solution to optimize ETL processes. This helps alleviate batch windows to enable the delivery of timely, trusted information to the business.
Posted: 24 Mar 2011 | Published: 24 Mar 2011

IBM

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.

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

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

The Benefits of Data Modeling in Business Intelligence
sponsored by CA ERwin from CA Technologies
WHITE PAPER: Through data modeling of BI systems, we can meet many of today’s data challenges. Through logical and physical modeling of business intelligence systems, we can enable the delivery of the correct business information to business users. Read this paper to learn more.
Posted: 08 Jun 2010 | Published: 30 Oct 2009

CA ERwin from CA Technologies

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

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