A data warehouse is defined as a central repository that allows enterprises to store and consolidate business data extracted from multiple source systems for the task of historical and trend ...

Architecture Data Vault 2.0 Architecture is based on three-tier data warehouse architecture. The tiers are commonly identified as staging or landing zone, data warehouse, and information delivery ...

The Modern Data Warehouse (MDW) pattern makes it easier than ever to deal with the increasing volume of enterprise data by enabling massive, global-scale writes operations while making the information ...

Data lakehouse architecture combines the best of cloud data lake and warehousing architectures to give teams the most recent data.

Experts joined DBTA's webinar, Top Trends in Modern Data Architecture for 2024, to examine how the evolving world of data architecture can be harnessed to successfully meet growing demands amid a ...

This feature article explores Chitnis's journey and vision through eight themes, from multi-cloud strategy to the rise of data mesh, drawing on his insights and the latest research in the field.

A modern data architecture should be collaborative, supporting sharing of information across organization boundaries, departments, or even outside the enterprise, ensuring everyone is working from the ...

Warehouse-native architecture: Perform identity resolution on your complete data, directly in the data warehouse, removing the need to move data into a separate CDP or black box.

Andromeda will run on a modern cloud-native architecture, with compute and storage separate, on Kubernetes clusters and run with microservices.