Layered or tiered architecture fortransformation of data from sources to utilisation. It includes three architectural columns that influence all layers

Selecting data sources on information content and data qualities

Analysing the cleaned, aggregated and filtered datasets

Data governance activities and application functions layers for maintaining qualities of the datasets

Processing activities for filtering, cleaning and transformation of datasets

Application functions and activities for securing datasets and storage functionalities

Not part of a data architecture but the input of the architecture, it is the raw material of a data pipe and therefore an essential part

Storage of primary and temporary datasets for usage in higher layers of the architecture

Usage of the processed data in work processes in the consumer organisation

Visualisation of the data or information for interpretation by analists and users