really allow companies to look at the data more closely than in the past.
Additionally, Russom identified one to 10 terabyte data ranges, including data marts and enterprise data warehouses
(EDW), to be the main area of opportunity for data warehouse
appliances, and sees this growing to the 20 terabyte range in the next couple of years to accommodate exponentially growing data.
Physician managers, who have an understanding of both organizational and clinical needs, are in the best position to champion the creation of data warehouses
in their organizations.
0[TM] outlines the definition of the future architecture of data warehousing under strict new parameters, marking a significant shift from the traditional static data warehouses
and legacy descriptions.
The Norwich Union project is a great example of how data warehouses
are increasingly being used to deliver operational applications as well as decision support.
WhereScape Software, provider of the first lifecycle management software solution specifically designed for data warehouses
, announced today WhereScape RED 5.
This is especially important because data warehouses
have become a reliable foundation to run mission-critical business-intelligence applications.
With many organizations expected to at least double the size of their data warehouses
over the next three years(3), there is a tremendous need for data warehouse
appliances that can quickly scale to meet market demand.
The NCR 5450 Server maximizes system performance and throughput required for active data warehouses
by leveraging the Intel Xeon 3.
Netezza, the global data warehouse
appliance leader, today announced the results of a recent survey conducted by The Data Warehouse
Institute (TDWI) that underscores a growing need for data warehouses
that are built to scale to the multi-terabyte range.
Unlike traditional custom-built data warehouses
, the new generation of adaptive data warehousing solutions provide the ability to quickly change as the business changes, ensuring consistent alignment with the organization's current and evolving business requirements.
Today's enterprise-wide implementations of data warehouses
need to be flexible enough to deliver incremental value in stages relevant to the individual business.