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DATA WAREHOUSE DEMONSTRATION IN TOKYO SHOWS OFF THE POWER
OF THE TECHNOLOGY
Earlier this year NCR Corp. of Dayton, Ohio, demonstrated
what it claimed was the largest data warehouse ever, 11 terabytes, double
what had previously been demonstrated. Eleven terabytes is the equivalent
of 2.75 billion pages of text, or enough information to fill 220,000
four-drawer filing cabinets.
The NCR 11 TB data warehouse demonstrated in Tokyo, ran on an NCR 5100M
WorldMark server, the Teradata database and the EMC Symmetrix 3500 open
storage systems, capable of storing more than one terabyte of data in
17 square feet. The data warehouse was built using the NCR Teradata
database, NCR WorldMark servers and EMC storage technology.
At the announcement in Tokyo, to demonstrate real-world capabilities,
NCR used 50 workstations generating the equivalent of 3,000 managers
querying the data warehouse. Specifically, the demonstration shows a
manufacturing company’s data warehouse providing information to
managers on sales history and analysis to help the company launch a
new product.
The NCR Teradata database system is used with the largest production
data warehouse installations in the world, including six customers each
with more than 1 TB of raw user data in their Teradata database. These
large data warehouses allow businesses to process large amounts of information
quickly to better understand customer needs. They also provide increased
operational control—such as evaluating inventory at a fine level
of detail, to reduce inventory turns or eliminate slow moving stock.
With retail organizations, this allows for efficiencies with perpetual
inventory replenishment. Large retailers can also conduct market basket
analysis on all transactions, such as conducting analysis on 3,000 stores,
each with 5,000 transactions a day over a 30-day period. Market basket
analysis is one of many applications that would process this volume
of data. To learn how demographics affect retail sales, a large data
warehouse can be used to evaluate how the relative wealth of an area
affects individual items sold in a particular store.
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