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SAP Data Hub

Platform and Capabilities

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SAP Data Hub

SAP Data Hub Pipeline

SAP Data Hub Technical Overview

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Hub Management

  • Manage Zones, Systems, and Connections
  • Configurable Adapters Services
  • Discovery

Data Discovery

  • Browse connected systems
  • Profile data for data quality
  • Expose data sets for modeling
  • Lineage & impact analysis

Data Pipelines

  • Content Authoring
  • Define Meta Data as Data sets
  • Modeling of tasks data quality
  • Predefined operations

Orchestrate Execution

  • Scheduling of execution
  • Workflow definition
  • Monitoring and analysis

Content Lifecycle

  • Export and Import Content
  • Configuration Management
  • Git Repository Integration 

Access Control

  • Identity Control (User Groups, Roles) 
  • Policy Management
  • Security Logging

Data Operations Cockpit

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SAP Data Hub Overview

SAP Data Hub Complex Workflow

SAP Data Hub Cockpit Discovery

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Create a comprehensive, open data landscape by working across a diversity of data sources and applications with governance.

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Data Landscape

Manage the data landscape, covering zones, systems, and connections; service discovery; and data-quality scoring.

Simplify Management

Simplify the management of users, groups, roles with access and security policies.

Data Pipelines and Refinement

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SAP Data Hub Data Pipeline and Refinement

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You can readily create complex, multistep data pipelines to refine and augment or enrich data at the source. Having a full landscape view of data lineage and quality enables you to make better decisions.

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Modeling Lifecycle Management

SAP Data Hub enables you to save, extend, and manage data models. You can group the modeling objects into projects, as well as import and export the model content based on project levels. You can use model synchronization and versioning through integration with the GitHub repository and trace dependencies and impact to related models, flows, or pipelines.

Data Pipeline

Process data or reuse existing code and libraries through data pipelines consisting of several predefined operations. You can access connectors to messaging systems (Apache Kafka, MQTT, NATS by Apcera, and Web application messaging protocol ), to databases (SAP HANA), and to systems that store and read data (HDFS and S3).

Data Sets

Create data sets – generic, logical data references consisting of a name, type, URL, and destination name with metadata that is an abstraction of the actual data or structures residing in distributed stores. Design data sets for files, directories, or folders in HDFS and S3, as well as for tables in the SAP Vora engine.

Metadata Discovery

Apply system and metadata discovery to browse connected systems, assess profiles for data quality, expose data sets for modeling, and perform lineage and impact analysis.

Orchestration and Operations

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SAP Data Hub Orchestration and Operations

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Rapidly execute powerful data flows using distributed local processing with scheduling and monitoring across the data landscape. Create a comprehensive, open data landscape by working across a diversity of data sources and applications with governance.

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Cockpit

Centrally manage connectivity of distributed data, discover data, and schedule and monitor workflows across a connected data landscape using the visual, intuitive user interface.

Workflows

The canvas tool for creating unified workflows or task workflows lets you orchestrate multiple tasks and execute them in a given order. You can do this for several tasks that are created and executed through SAP Data Hub, including data pipelines, file operations, and data flow graphs.

Landscape Management

You can create and manage zones, systems, and connections in your landscape. Zones represent logical groupings of a distributed data landscape shared for a specific use case. Systems are stand-alone data sources in the distributed data landscape. And connections are technical access points to a system through an agent of SAP Data Hub.

Discovery

Learn more about your data by profiling, previewing, and viewing the metadata as you navigate a connected system. You can profile data sets, providing metrics such as minimum, maximum, pattern, and cardinality to verify data quality and help determine whether the metadata accurately describes the source data set. 

Monitoring and Scheduling

Schedule the execution of task workflows in the dedicated scheduling area of the cockpit. Through the monitoring dashboard, you can keep track of the status of task workflows that you have scheduled for execution within the cockpit or in the modeling perspective of SAP Data Hub.

Security and Policies

Use this area for establishing security settings and policies for processes and modeling objects in SAP Data Hub and for identity
control (users, groups, and roles), policy management, and security logging.

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