Ques:
You’re tasked with presenting a high-level architecture of SAP Datasphere to your IT leadership.
Can you describe the main components (e.g., Spaces, Data Builder, Business Builder) and how they interrelate in the SAP Datasphere architecture?
Ans:
Here’s the high-level overview of SAP Datasphere architecture and its main components:
SAP Datasphere is a cloud-based data management & integration platform that enables real-time data consumption & analytics by bridging the data from various sources.
Major components & their roles include:
– Spaces: It is a workspace within SAP datasphere that helps with managing datasets & applications by various teams. It provides collaboration zones & streamlines the process as per business context.
– Data Builder: It provides a modelling environment for designing & creating semantic data models. Users can build the views, data flows & transformations from raw or connected data.
– Business Builder: It is a tool that is used to define the business logic and composite models on top of the data models created on top of the data builder. Data models can be enriched with KPIs, and business builders can act as a gap between the technical data model and business insights.
– Data Integration & Connections: SAT Datasphere provides native connectors for various data sources, as these connections feed the data into the spaces and models, enabling real-time or batch data access.
– Data Catalog & Marketplace: It can be used for metadata management, data discovery & users can use it to understand datasets across the organizations.
– Security & Governance: Here, role-based access controls & policies are being forced on spaces and models to protect sensitive data across the platform.
The relation between the components:
The foundational organizational layer is the Space, where the teams can manage their datasets & models. Then, there is a data builder which is used to connect the raw data sources & multiple semantic data models are created. Once the data models are ready, we can use Business Builder to enhance these models by adding multiple business logics, KPIs, and security layers.
These curated models can be accessed via various reporting tools & analytics platforms. Then, we use a data marketplace or catalog for data discovery and governance. Using this platform, easy integration with both SAP and non-SAP systems is possible.
This is a basic architecture of the datasphere.
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