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Data warehouse appliance technology
data warehouse
A data warehouse is a federated repository for all the data collected by an enterprise's various operational systems, be they physical or logical. Continue Reading
A buyer's guide to selecting the best data warehouse product
With several deployment options and product choices, it's difficult to know where to start. This buyer's guide helps you choose the right data warehouse product for your company. Continue Reading
data warehouse as a service (DWaaS)
Data warehousing as a service (DWaaS) is an outsourcing model in which a service provider configures and manages the hardware and software resources a data warehouse requires, and the customer provides the data and pays for the managed service. Continue Reading
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The analytical advantages of an enterprise data warehouse system
Learn about the potential benefits of an enterprise data warehouse system for analytics uses. Also, find out about the data security issues and cost considerations of large data warehouses. Continue Reading
Why IT departments should consider a large data warehouse system
Find out how a large data warehouse system can benefit companies. Learn how enterprise data warehouses help meet business needs. Get tips on operational considerations for a central data warehouse. Continue Reading
Exploiting the power of a large enterprise data warehouse
Learn how to take advantage of a large enterprise data warehouse in this book excerpt. And find out how the proliferation of data sources, data volumes and queries affects data warehouse performance.Continue Reading
Quiz: Data warehousing technologies and trends
After you watch consultant Rick Sherman’s BI University classroom videos on data warehousing, take this short quiz to test your knowledge of data warehouse tools and best practices.Continue Reading
Test time: What do you know about 'big data' technologies?
Take this short quiz to test your understanding of ‘big data’ technologies, use cases and management issues – plus get recommendations for additional reading on big-data topics.Continue Reading