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Oracle Introduces Oracle Communications Data Model by Oracle Corporation

October 01, 2010 - (Free Research)
Listen to this podcast to hear Tony Velcich, from Oracle’s Communications Product Management team, discuss the benefits of this solution. 
(PODCAST) READ ABSTRACT |

A Usability Comparison of the Top Three Data Modeling Tools by CA ERwin from CA Technologies

October 20, 2011 - (Free Research)
Read this white paper to get a comparison of data modeling tools. 
(WHITE PAPER) READ ABSTRACT |

Competitive Analysis of Market Leaders in Data Modeling: PowerDesigner, ERwin and ER/Studio by Sybase, an SAP company

June 09, 2009 - (Free Research)
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. 
(WHITE PAPER)

Business-Model-Driven Data Warehousing: Keeping Data Warehouses Connected to Your Business by Kalido

June 2008 - (Free Research)
This paper analyzes the issues of conventional data warehouse design process and explains how this practice can be improved using a business-model-driven process in support of effective Business Intelligence. 
(WHITE PAPER) READ ABSTRACT |

Best Practices for Implementing a Data Warehouse on Oracle Exadata Database Machine by Oracle Corporation

September 2010 - (Free Research)
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. 
(WHITE PAPER) READ ABSTRACT |

Best Practices for Implementing a Data Warehouse on Oracle Exadata Database Machine by Oracle Corporation

November 2010 - (Free Research)
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. 
(WHITE PAPER) READ ABSTRACT |

Visualize the Power of your Data - with Data Models by CA ERwin from CA Technologies

February 2011 - (Free Research)
Growing data volumes, diverging data sources, amplified information complexity, and increasingly varied users have made it difficult to take advantage of data as a true corporate asset. In this expert webcast featuring industry thought leader David Loshin, learn how to turn data complexity into an information advantage. 
(WEBCAST) READ ABSTRACT |

TDWI Checklist Report: Data Requirements for Advanced Analytics by SAS

April 2010 - (Free Research)
This checklist lists and explains data requirements that are unique to advanced analytics. This report focuses on the data requirements of advanced analytics so organizations may become better equipped to populate a data warehouse or analytic database with data and data models that ensure the success of advanced analytic applications. 
(WHITE PAPER) READ ABSTRACT |

Best Practices in Data Management by SAS

March 2008 - (Free Research)
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. 
(WHITE PAPER) READ ABSTRACT |

Oracle® Business Intelligence: Standard Edition One Tutorial by Oracle Corporation

June 2008 - (Free Research)
Selecting a business intelligence product that fits all of your organization's needs can be a challenging task. Read this paper to learn about a comprehensive BI solution that can be tailored to any organization. 
(WHITE PAPER) READ ABSTRACT |

SearchBusinessAnalytics.com E-Guide: Implementing Self-Service BI by Jaspersoft

March 2012 - (Free Research)
In this E-Guide, readers will learn some of the key mistakes companies make when implementing self-service BI, as well as how to avoid these with an eight-step model. 
(EGUIDE) READ ABSTRACT |

Best Practices for a Data Warehouse on Oracle Database 11g by Oracle Corporation

January 2009 - (Free Research)
In order to ensure the enterprise data warehouse will get the optimal performance and will scale as your data set grows you need to get three fundamental things correct, the hardware configuration, the data model and the data loading process. 
(WHITE PAPER) READ ABSTRACT |

E-Guide: The Importance of Data Modeling Software by CA ERwin from CA Technologies

February 2012 - (Free Research)
In this e-guide, you will find out why the experts think data modeling is an important part of enterprise data management and why business users often need to be convinced that data modeling is something they should care about. 
(EGUIDE) READ ABSTRACT |

The Return on Investment (ROI) of Data Modeling by CA ERwin from CA Technologies

March 2010 - (Free Research)
Without a clear understanding of the meaning and rules around this data, business decisions can be negatively affected. Data modeling is a time-proven method for understanding data, its interrelationships and its rules. Data management professionals have long understood the value of data modeling. 
(WHITE PAPER) READ ABSTRACT |

Data Modeling: A Necessary and Rewarding Aspect of Data Management by Burton Group

July 2008 - (Free Research)
Data modeling has evolved from an arcane technique for database designers into an entire family of interrelated techniques that serves many constituencies, including techno-phobic business stakeholders and users. The new maturity of modeling to... 
(WHITE PAPER) READ ABSTRACT |

Fast-Tracking Data Warehousing & Business Intelligence Projects via Intelligent Data Modeling by Embarcadero Technologies, Inc.

January 2010 - (Free Research)
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. 
(WHITE PAPER) READ ABSTRACT |

Fast Tracking Data Warehousing & BI Projects Via Intelligent Data Modeling by Embarcadero Technologies, Inc.

September 2010 - (Free Research)
In this webcast, you’ll learn from BI and enterprise modeling expert, Claudia Imhoff how intelligent data modeling practices to design and deliver superior BI faster, the characteristics and benefits of intelligent data modeling, How to promote the use of data models to fast-track data warehouse and BI projects, and more. 
(WEBCAST) READ ABSTRACT |

Fast-Tracking Data Warehousing & BI Projects via Intelligent Data Modeling by Embarcadero Technologies, Inc.

February 2010 - (Free Research)
At the core of any BI should be the ability to align business needs with the data infrastructure supporting them. This is almost impossible to do without a data model. Yet many BI implementers do not understand the need for these design components. This paper will examine the major benefits that data models have on BI environments. 
(WHITE PAPER) READ ABSTRACT |

Presentation Transcript: The Power of Universal Patterns and Models for Master Data Management by Embarcadero Technologies, Inc.

October 2009 - (Free Research)
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. 
(PRESENTATION TRANSCRIPT) READ ABSTRACT |

Rapid Architectural Consolidation Engine - The Enterprise Solution for Disparate Data Models by Innovative Routines International, Inc.

March 2008 - (Free Research)
RapidACE is a software platform that enables data architects to integrate disparate data models automatically. It delivers high speed, automated data model consolidation. 
(WHITE PAPER) READ ABSTRACT |

Ten Things to Avoid in a Data Model by CA ERwin from CA Technologies

August 2010 - (Free Research)
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. 
(WHITE PAPER) READ ABSTRACT |

ERwin® in the Cloud: How Data Modeling Supports Database as a Service (DaaS) Implementations by CA ERwin from CA Technologies

June 2010 - (Free Research)
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. 
(WHITE PAPER) READ ABSTRACT |

Sybase PowerDesigner 15.0 by Sybase, an SAP company

March 2008 - (Free Research)
The industry leading data modeling tool and an enterprise modeling and design solution, PowerDesigner, helps implement effective enterprise architecture and brings powerful models to create and manage your IT infrastructure. 
(DEMO) READ ABSTRACT |

The Benefits of Data Modeling in Business Intelligence by CA ERwin from CA Technologies

October 2009 - (Free Research)
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. 
(WHITE PAPER) READ ABSTRACT |

Ten Things to Avoid in a Data Model by CA ERwin from CA Technologies

April 2011 - (Free Research)
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. 
(WHITE PAPER) READ ABSTRACT |

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