Final answer:
The heterogeneous systems approach requires system translator software to integrate different data types into a data warehouse, which involves large scale processes and aims for a repository that is easy to interpret and highly adaptable.
Step-by-step explanation:
The heterogeneous systems approach may require system translator software to create data in a data warehouse. This approach deals with different types of systems and data formats, which means that the process of integrating data into a data warehouse can become complex. System translators are therefore needed to ensure that data from various sources can be understood and used by the data warehouse.
Data warehouses operate on large scale processes and manage vast amounts of data from various sources. The goal of a data warehouse is to create a centralized repository of data that is easy to interpret and communicate for business intelligence purposes. These systems should be highly adaptable to accommodate changes in data structures and new data sources, which is essential for supporting information theoretic approaches to data analysis.