Read this paper to learn of a new breed of data warehouse technology is emerging that addresses many of the implementation challenges organizations face 

This paper describes reference configuration and sizing information for Oracle data warehouses on Sun servers for small, medium, and large solutions to meet business intelligence/data warehouse needs. 

While data warehouses are important for many types of analytical systems, they aren’t always necessary. Building a data warehouse can dramatically increase the cost of a BI project. This paper describes data warehouses, along with many other options for placing relevant, timely information in the hands of business users. 

In the last decade, many new options for data warehousing have become available. However, with all the advancements, it can be difficult to select the right one for business needs. This report catalogs the new data warehouse platform products and techniques that have appeared this decade, plus advances in more established data warehouse platforms. 

In this expert podcast, learn how to build your data warehouse for your SQL Server environment. Discover the necessary steps involved and learn about major concepts, including relational data warehousing and supported SQL Server Analysis Services (SSAS) storage formats. 

This video white paper explores the relative pros and cons of deploying pre-built analytic applications from Oracle versus building a custom data warehouse against Oracle E-Business Suite, PeopleSoft, Siebel or similar systems. 

The Sybase Analytic Appliance is revolutionizing the data warehouse appliance market by integrating the leading column-based analytic software with hardware from the industry's number one provider of UNIX systems. Read this paper for more. 

In order to ensuring the EDW 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. 

This webcast addresses the uncertainty of SPARC's future and explores Intel, HP and Microsoft platforms that offer flexible, low cost, and highly integrated BI to reduce costs, increase flexibility, and deliver BI capabilities to all levels of an organization. 

Read this transcript to learn how to get all the speed, flexibility and processing power of a custom-built data warehouse. 

Organizations in all industries and of all sizes are turning to business intelligence (BI) and data warehousing (DW) technologies and services to either automate or support decision-making processes. 

This paper reviews the current status of master data management (MDM) and offers suggestions for planning, building, and deploying an MDM environment. It examines how the MDM environment can be used in conjunction with BI applications and an underlying data warehousing environment to improve the decision-making process. 

Database architects and administrators need to discover, document, and re-use data assets; reverse-engineer, analyze, and optimize existing databases; and design to comply with regulatory requirements and organizational standards.