The goal of data architecture is to translate business needs into data and system requirements, and to manage data and its flow through the enterprise. Many organizations today are looking to ...

In the end, every data warehouse has an architecture, composed of technical and data related components. The architecture is either planned, or it’s developed without a plan.

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.

The consumption zone is the last stage of general data flow within a data lake architecture. In this layer, the results and business insights from analytic projects are made available to the ...