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 ...

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 ...

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.

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 ...

Co-authored by Shamnad Mohamed Shaffi of Amazon Web Services, Sunish Vengathattil of Clarivate Analytics, and Jinal Mehta of Amazon, the study explores how a cutting-edge data lakehouse architecture ...

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 ...

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 ...

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 ...

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 ...