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 ...

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 ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

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 ...

Organizations that really want to take advantage of a higher performance, more agile and lower cost data warehouse architecture, should implement master data management (MDM) to improve data quality.

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 ...

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.

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 ...

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 ...