Tag: Entreposage de données

Data warehouse automation (DWA) is fast replacing conventional approaches to building data warehouses. Enterprise data warehouses (EDW) are critical for utilizing historical data for Business Intelligence and reporting. But, the traditional approaches to compiling and managing colossal data volumes through…

Contrairement à un entrepôt de données qui stocke des données à l'échelle de l'entreprise, un datamart comprend des informations relatives à un service ou à un domaine particulier. Par exemple, un datamart de ventes peut contenir uniquement des données relatives aux produits, aux clients et aux ventes. Lisez ce blog…

Data modeling tools, also called data modelers, have become an absolute necessity in the design of databases and data warehouses, so much so that there are hundreds of solutions to choose from. This is why this blog will take a…

For the past few decades, the data warehouse architecture has been the pillar of corporate data ecosystems. And despite numerous alterations over the last five years in the arena of big data, cloud computing, predictive analysis, and information technologies, data…