Objective
With SAP Datasphere you can virtually access or physically store data from anywhere:
Virtualization enables real-time federated access to various source systems. Data is left in the source (not moved and duplicated) and only accessed remotely when needed. This option is available across various sources and platforms including hyperscalers.
Replication lets you transfer data in real-time or in a scheduled manner for high-speed access to data that may have large volumes, or reside in sources that have slower accessibility.
Customers can choose, based on their business requirements to connect or collect data, and switch from federated data to persisted data with a single click.
Review the Help Portal for more information on Acquiring Data in the Data Builder.
In this Data Acquisition unit, we work with several data ingestion methods to import data either federated or replicated from SAP and non-SAP sources.
Key takeaways for the unit include:
The overview below lists the source and data entities of the Data Sources, and the Data Ingestion layer of SAP Datasphere we explore in this unit:

Data Sources and their data which we ingest:
Data Ingestion methods:
Data Inbound Layer target objects in SAP Datasphere:
The SAP Datasphere shared central space, CENTRAL_DATA stores the dataset of our workshop. The objects and their data are pre-defined in this space and shared with your workshop user space . This gives you the flexibility to do all or only parts of the lessons in this Data Ingestion unit.
SAP Datasphere offers the ability to access and store data virtually or physically from SAP and non-SAP sources. It allows for federated access across all data sources and the option to replicate and store data as needed. The virtualization feature enables real-time access without moving or duplicating the data. Replication is available for transferring data on a schedule, particularly for large volumes or sources with slower accessibility.