SAP Datasphere
Networking data.
Use knowledge.
SAP Datasphere offers consistent access to all relevant data sources – centrally
centralized, structured and usable in real time.
What is SAP Datasphere?
SAP Datasphere is the central data service within the SAP Business Data Cloud. The solution links data from SAP and third-party systems, preserves its context and structure and makes it available in real time for analysis, planning or AI applications.
This creates a consistent information basis on which systems and departments can work together efficiently and in a coordinated manner.
Functions such as semantic modelling, data virtualization, self-service rooms and native SAP integration create an end-to-end data architecture – flexible, scalable and future-proof.
Advantages of the
SAP Datasphere
Standardized data landscape
Can be used quickly
Scalability and future viability
Trustworthy data provision
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Job Description & Function
Frequently asked questions (FAQ)
about SAP Datasphere
Yes, SAP Datasphere takes over existing BW models via BW Bridge – with up to 80% reduction in manual migration.
A business data fabric offers semantic, centrally controlled data services across heterogeneous environments – without data replication
Datasphere focuses on data fabric-capable modeling and management. Data Intelligence will cover additional integration scenarios in future
Datasphere delivers structured models directly to SAP Analytics Cloud. Bi-directional live connections and analytic models enable automated use cases
Features of the SAP DataSperhe
at a glance
Semantic modeling & reuse
Business logic from SAP systems is automatically recognized and made available as semantic models. These can be reused in different contexts – for consistent data interpretation and faster implementation.
Knowledge Graph
An integrated knowledge network visualizes relationships between data sources, business terms and processes. This increases transparency and accelerates understanding, even in complex system landscapes.
Data Federation & Virtualization
Data stays where it is – whether in SAP S/4HANA, Snowflake or Data Lakes. Thanks to virtual linking, analyses can be carried out without having to move data.
Self-service for specialist departments
With so-called “Spaces”, specialist departments work autonomously on data models, evaluations and data products – with clear boundaries, defined governance and central control by IT.
Integration of external sources & partner solutions
Open interfaces enable the seamless connection of external tools such as Collibra, Databricks, Google BigQuery or Open Connectors – for a comprehensive data fabric.
Data catalog & governance
Metadata management, access control, versioning and logging are centrally integrated. This creates a consistent, verifiable and resilient data foundation.
Trusted by customers
The next step towards a consistent data strategy
SAP Datasphere connects, structures and opens up company data for modern applications.
Everything you need to know and more.
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