SAP Datasphere is a solution that helps you streamline your business processes so you can act faster and more successfully. The SAP Datasphere approach is SAP Datasphere is a solution that helps you optimize your business processes, enabling you to act faster and more successfully. The approach of SAP Datasphere is "Federation-First," which means you can leave your data where it is. You can create models and later decide whether to fully replicate tables or use view persistence. This allows you to consider the workload of the source system and data transfer to the cloud (data egress).
The main features of SAP Datasphere include:
Delivering reliable data:
SAP Datasphere provides direct access to critical data and metadata from SAP and non-SAP applications, which can be easily integrated into complex models while ensuring data governance throughout the lifecycle.
Enriching data projects:
SAP Datasphere harmonizes heterogeneous data and offers data bundling, data replication, and trusted data partners through the marketplace. The platform seamlessly integrates with leading data and AI platforms to maximize the value of data investments.
Simplifying data landscapes:
SAP Datasphere enables access to all data in cloud and hybrid environments, regardless of their location. With SAP Datasphere Spaces, users can access data products and reuse existing SAP BW models and transformations for cloud innovations.
Enabling a business data fabric:
SAP Datasphere enables a business data fabric architecture that brings critical data together throughout the organization, empowering business experts to make key decisions. It supports integration, cataloging, semantic modeling, data warehousing, and workload virtualization for SAP and non-SAP data. It facilitates insights from real-time data across clouds and on-premises systems, eliminating the need to move data to another data storage layer and simplifying your landscape.
Self-service BI with a stronger business focus:
With SAP Datasphere, the focus is on the business's fundamental understanding of data and data models in the context of business processes. This means that the IT department no longer needs to serve as a translator and developer to create data models for different business areas and corresponding reports. Additionally, the tools for report development have been simplified, allowing users to easily build the required basic knowledge and independently design and develop reports. The following SAP partnerships underline this approach.
SAP announced four strategic new partnerships to support the concept of a business data fabric and better enable the integration of non-SAP data within a unified consumption context. These partnerships expand SAP Datasphere and allow companies to build a unified data architecture that securely brings together SAP and third-party data.
Databricks: Integrates SAP data with their Data Lakehouse platform, providing the full context.
Collibra: Ensures future-proof data governance, privacy, and compliance initiatives.
Confluent: Empowers data movement with their data streaming platform.
DataRobot: Enables organizations to harness advanced intelligence with automated machine learning.Federation-First". This means you can leave your data where it is. You can create models and later decide whether to replicate full tables or use view persistence. This allows you to take into account the workload of the source system and the data transfer to the cloud (data egress).