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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data warehouse is defined as a central repository that allows ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This article was contributed by Gunasekaran S., director of data ...
Since the beginning of the data warehousing movement in the early 1990s, there have been two dominant approaches to architecting data warehouses—the Inmon and Kimball models. Recently, two other ...
Modern organizations must react quickly to competitive threats and new potential market opportunities. More then ever before, organizations need up-to-date, comprehensive, and easily accessible data.
PALO ALTO, Calif.--(BUSINESS WIRE)--Yellowbrick Data, the innovation leader in modern data warehousing, today announced Yellowbrick Manager which gives customers unified control of data warehouses ...
One day, corporations awoke to the fact that having data was not the same thing as having believable data. They awoke to discover the meaning of “data integrity.” That was the day the enterprise data ...
One goal of MDM is to prevent 'bad data' from entering the ecosystem at all by enforcing data quality at the 'edges' of the IT ecosystem. Organizations that really want to take advantage of a higher ...
Many data warehouse operators have attempted to implement Master Data Management to improve data quality, but most have focused on mastering data after transactions occur. This approach does little to ...
Data warehouses were designed in the days when closed and proprietary was the right choice for data storage. But the cloud era requires a less cumbersome, open technology that can cope with real-time ...
Formed back in 2014 with first product released three years later, Yellowbrick has specialized at the high-performance end of the data warehousing spectrum that includes analytics of real-time data.
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