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 ...

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 ...

Many tools promise that users will gain rapid insights and create more flexibility by capturing and storing data, but introducing NoSQL database technologies into the data warehouse and analytics ...

Data is the lifeblood of modern enterprises. From gaining necessary insights into customer behavior and streamlining organizational processes to making effective business decisions, data is now a ...

The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and the data ...

For decades, the enterprise data warehouse (EDW) has been the aspirational analytic system for just about every organization. It has taken many forms throughout the ...

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 ...

Redmond's TimeXtender, a leading provider of data warehouse automation (DWA) software for the Microsoft SQL Server, announced that it has enlisted longtime data warehouse practitioner Joe Oates as ...

In the ongoing debate about where companies ought to store data they want to analyze – in a data warehouses or in data lake — Databricks today unveiled a third way. With SQL Analytics, Databricks is ...