SAP Data Hub
SAP Data Hub
Official SAP Data Hub
tutorials and resources
SAP Data Hub enables you to perform data integration, orchestrate the movement of data, and provide governance capabilities for data across a complex and diverse data landscape. You can also use Big Data processing to create uniquely powerful data pipelines based on the serverless computing paradigm. Existing data and processes can be managed, shared, and distributed across the enterprise with seamless, unified, and enterprise-ready monitoring and landscape management capabilities.
New to SAP Data Hub?
SAP Data Hub establishes a new category of software solution, providing a comprehensive answer to an emerging and painful challenge for enterprise customers: integrating data and establishing data-driven processes across an increasingly diverse data landscape.
SAP Vora
The SAP Vora database and tools provide a distributed in-memory engine with various processing engines for different data types such as Relational, Time Series, Graph, Document Store, and Disk-to-Memory Accelerator. It also includes a web-based user interface with a data browser, an SQL editor, and an OLAP modeler.
Under the hood: SAP Data Hub
SAP Data Hub provides an integration layer for data-driven processes across enterprise services to process and orchestrate data in the overall landscape for all user groups – IT, business analysts, data scientists, data engineering, and data stewards. It integrates and prepares data within a digital landscape to drive business decisions. It offers an open big data-centric architecture with open source integration, cloud deployments, and third party interfaces. It leverages massive distributed processing and serverless computing capabilities.
Summary matrix
| Features | Details |
| Data Hub Cockpit | The central user interface for managing and monitoring the connected systems. |
| Data Discovery | An environment for discovery and profiling of data in connected SAP Vora and Hadoop environments. |
| Data Hub Modelling | A modeling environment for data-driven task workflows based on SAP Web IDE. |
| Data Pipelines | Create data processing pipelines (graphs), and provide a runtime and design time environment for data driven scenarios. The tool reuses existing coding and libraries to orchestrate data processing in distributed landscapes. |
| Execution Orchestration | Graphically model task workflows, and schedule, monitor and analyze their execution. |
| Content Lifecycle Management | Import/export content, manage configurations and integrate with git repositories. |
| Access Control | Control and log access to Data Hub using policies and user authentication. |
| SAP Vora | An in-memory, distributed database that can run enriched, interactive analytics on enterprise and Hadoop data, quickly and easily. It includes specialized engines for analyzing relational, time series, graph and JSON data. |
| SAP Vora Tools | Web-based UI for viewing and exporting data contained in tables and views, an SQL editor for creating and running SQL scripts, and an OLAP modeler for creating data models against Hadoop data sources. |
