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Conceptual Data Modeling

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Conceptual Data Modeling Reports
 
Data modelling is NOT JUST for database management systems
sponsored by IPL
WHITE PAPER: The following white paper examines many of the aspects of data modeling as well as why and how this technology can be used for a far greater set of applications rather than the standard of database management.
Posted: 06 Feb 2015 | Published: 06 Feb 2015

IPL

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

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

Predictive Analytics in Action: Real-World Examples and Advice
sponsored by SAS
EBOOK: If your organization is looking to deploy advanced predictive analytics, you will need to make sure you have the right level of skills to avoid pitfalls and keep costs down. This expert e-book details everything you need to know about embarking on a predictive analytics endeavor.
Posted: 14 Mar 2013 | Published: 31 Dec 2012

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

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

New Intelligence for a Smarter Planet for CIOs
sponsored by IBM India Pvt. Ltd
VIDEO: How do we make sense of rapidly growing amounts of business data? IBM is helping CIOs take control of their data and turn it into not just organized information, but actionable intelligence. Access this video to learn more.
Posted: 13 Dec 2010 | Premiered: 13 Dec 2010

IBM India Pvt. Ltd

Replication for Dummies
sponsored by Sybase, an SAP company
EBOOK: IT organizations face many data challenges. Data distribution rates and the quantity of data that consumers use is expanding exponentially in the global marketplace. Read this e-book to gain an understanding of the Sybase Replication Server and learn a series of best practices to consider when implementing a database replication strategy.
Posted: 08 Mar 2010 | Published: 05 Mar 2010

Sybase, an SAP company

E-Guide: Business intelligence: Paving the way for innovation
sponsored by SAP America, Inc.
EGUIDE: Business intelligence and predictive analytics have the potential to revolutionize the way CIOs make decisions and align IT with business goals. By collecting valuable data, CIOs can promote innovative change. Inside this exclusive e-guide, learn how New York City Housing Authority’s CIO used BI and predictive analytics to do just that.
Posted: 02 Nov 2011 | Published: 02 Nov 2011

SAP America, Inc.
 
 
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