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.

In order to break down barriers in creating and storing data, understanding the modern data architecture is key. That was the focus of Mike Lamble, CEO at Clarity Solution Group, and Ron Huizenga’s, ...

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.

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 ...

There is no time for ETL. Much of IT architecture is still based on a hub-and-spoke system. Operational systems feed a data warehouse, which then feeds other systems.

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