The parallel integration is an extension of the DWH functiionality with the Big Data Platform. This extension makes it possible to use both functionalities side by side. Characteristics - Easy (incremental) introduction of the Big Data functionality - Integration of both functionalities requires attention for the introduction of the interconnect functionality because this can become a bottleneck in performance and configuration -

Consumer of data, in most situation the consumer gets access to processed data (cleaning, filtering, transforming) based on a standardized model

Description of the data sources in general. Is an aggregation of specific data source types. This generic datasource is added to the model to make associations possible with generic requirements and principles

This is the logical application of a data warehouse not the component. It describes the functionality of storing, modeling updating and retrieving enterprise data based on relational data including the history of the data

Logical application composite for implementation of Big Data functionalities

Parallel integration of EDWH and Big Data functionality. Often between these functions an interconnect function is implemented