Getting Started with SAP Datasphere

SAP Datasphere enables a business data fabric architecture that uniquely harmonizes mission-critical data across the organization, unleashing business experts to make the most impactful decisions. It combines previously discrete capabilities into a unified service for data integration, cataloging, semantic modeling, data warehousing, and virtualizing workloads across SAP and non-SAP data.

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Publish and browse high-quality, trusted data.Enrich and expose data as analytic models.Enrich and expose data as perspectives.Import queries from your existing BW systems.Federate and replicate data.Prepare your data sources for integration to your space.Install intelligent applications and work with data products.Transport objects between tenants.Consume data in clients, tools, or apps.Combine, filter, and otherwise transform data.
SAP Datasphere allows you to converge data coming from SAP and third-party on-premise and cloud environments into a single, fully-managed cloud environment to allow your organization to radically simplify your data warehousing landscape. It provides:

  • A secure environment supporting diverse data application needs including real-time analytics, governed data access, a data catalog, and data science (machine learning).

  • An object store for loading, staging, and preparing large quantities of data inexpensively.

  • Spaces, which are created and provisioned centrally to provide secure modeling environments for different departments or use cases.

  • A wide range of connections to SAP and non-SAP cloud and on-premise sources, including data lakes.

  • Graphical low-code/no-code tools to support self-service modeling needs for business users.

  • Powerful built-in SQL and data flow editors for sophisticated modeling and data transformation needs, along with support for 3rd party tools and other SAP IDEs.

  • An embedded data marketplace to consume external data products and to create internal data products.

  • A business user-friendly data matching environment to enrich existing datasets with external data, coming from Data Marketplace, csv uploads, and other 3rd party sources.

  • A catalog to support self-service discovery of data and analytic assets, glossaries and terms, and key performance indicators.

  • Multi-dimensional modeling with powerful analytical capabilities and built-in data preview.

  • A graphical impact and lineage analysis to visualize data movements, transformations, and other dependencies.

  • Cross-space collaboration and sharing of centrally governed sources for joining with local files and external sources with support for row-level security.

  • Re-use and migration of trusted and governed meta and data models residing in on-premise SAP Business Warehouse and SAP SQL Data Warehouse implementations.

  • Provision of SAP and partner business content to support end-to-end business scenarios for various industries and lines of business.

  • Seamless integration with SAP Analytics Cloud, Microsoft Excel, and public OData APIs to support consumption by other clients, tools, and apps.