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Conceptual Data Modeling

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Conceptual Data Modeling Reports
 
Linking Master Data Management to Big Data
sponsored by IBM
EGUIDE: How does Master Data Management (MDM) impact big data, and vice versa? In this e-guide, Gartner Research vice presidents Andrew White and John Radcliffe, and founder and chief research officer with the MDM Institute, Aaron Zornes, share their insights and advice on leveraging MDM tools and strategies to combat big data and other trends.
Posted: 24 Oct 2013 | Published: 24 Oct 2013

IBM

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

Harvard Business Review: The Big Data Opportunity for HR and Finance
sponsored by Workday
WHITE PAPER: This Harvard Business Review report explains why big data in HR will allow HR departments to move beyond simple headcount and be more predictive than reactionary. Inside, learn from several examples of finance adopters of big data that are winning favorable notice from the C-suite.
Posted: 09 Sep 2014 | Published: 09 Sep 2014

Workday

Presentation Transcript: The Power of Universal Patterns and Models for Master Data Management
sponsored by Embarcadero Technologies, Inc.
PRESENTATION TRANSCRIPT: In this presentation transcript featuring best-selling author, Len Silverston, learn how to implement universal patterns for data modeling to improve management flexibility. Gain insight into various modeling choices to meet your organization's needs. Discover how to improve quality and reduce management costs by re-using patterns.
Posted: 19 Oct 2009 | Published: 19 Oct 2009

Embarcadero Technologies, Inc.

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.

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

Sybase IQ Powers Predictive Analytics
sponsored by Sybase, an SAP company
WHITE PAPER: Sybase IQ is a market-leading analytics server which enables organizations to perform deep analysis of massive amounts of data, accessed by multiple users requiring answers in real time.
Posted: 25 Mar 2011 | Published: 25 Mar 2011

Sybase, an SAP company

Mastering SAP HANA Data Modeling for Maximum Performance
sponsored by HP and CenturyLink Technology Solutions
EGUIDE: SAP HANA offers new levels of data modeling that exceeds what's possible with traditional relational database management systems (RDBMS). While data is still stored in tables, how the storage model is designed differs greatly from traditional RDBMS, resulting in better compression and faster reads.
Posted: 26 Nov 2013 | Published: 26 Nov 2013

HP and CenturyLink Technology Solutions

Improving Data Quality Through Data Modeling
sponsored by CA ERwin from CA Technologies
WEBCAST: Explore with William McKnight the factors involved and how organizations should go about valuing data quality through modeling and taking the right steps to remediate data quality defects throughout the enterprise.
Posted: 20 Oct 2010 | Premiered: Jul 22, 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
 
 
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