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Your Top 5 Reasons Why You Should ChooseSAP Data Hub

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Top 5 reasons for choosing the SAP Data Hub solution

Universal view of the enterprise and Big Data: Get a consolidated view of all data from all data sources, covering

business processes and applications

Efficient data enrichment: Employ distributed data pipeline processing and refinement using a variety of

computation techniques such as OLAP, graph, time series, and machine learning

Intelligent discovery of data relationships: Improve data quality through self-service preparation and get a graphical

view of data correlations across your enterprise

Scalable data operations (DataOps) management solution: Orchestrate data end to end, process data where it is

located, and avoid expensive data movement

Optimal compliance and data governance across the enterprise: Maintain your security policy dynamically in one

place and help ensure that policy measures are in place to meet regulatory and corporate requirements

UNIVERSAL

1

INTELLIGENT

2

EFFICIENT

3

SCALABLE

4

COMPLIANT

5

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Universal view of the enterprise and Big Data: Get a consolidated view of all data from all data sources, covering business processes and applications

UNIVERSAL

1

§ Improve landscape visibility to identify and utilize Big Data sources in and beyond your enterprise

§ Create and manage landscape connections, zones, and systems (landscape management*)

§ Generic processing logic for data from several sources no matter whether data is in the cloud or on premise, in Big Data systems or enterprise applications, and in SAP systems or Non-SAP systems

§ Enable your business users to improve their daily work with self-service interfaces (cockpit*)

* Solution feature

SAP Data Hub Cockpit

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§ Cleanse and prepare your data and centrally manage the connectivity of distributed data (Data Discovery and Preparation*)

§ Apply system and metadata discovery to browse connected systems (Metadata management and cataloging*)

§ Expose data sets, model data pipelines and manage your meta data (modeler*)

§ See how data flows through or in connected systems – including the touch points to other processes (landscape management*)

Intelligent discovery of data relationships: Improve data quality through self-service preparation and get a graphical view of data correlations across your enterprise

INTELLIGENT

2

* Solution feature

SAP Data Hub Discovery

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Efficient data enrichment: Employ distributed data pipeline processing and refinement using a variety of computation techniques such as OLAP, graph, time series, and machine learning

EFFICIENT

3

§ Incorporate complex analysis and enrichment from third-party systems such as location-aware systems and others

§ Flow-based applications consisting of reusable and configurable operations such as ETL, preparation, code execution, and connectors (modeler*)

§ Extensible operator concepts such as machine learning operators ranging from simple regression to TensorFlowapplications (modeler*)

§ Openness for co-innovation: Call to build your own operators

* Solution feature

SAP Data Hub Data pipeline

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§ Processing of the data where it is located (cloud, on premise, or hybrid) to avoid unnecessary data movement (modeler*)

§ Schedule and monitor workflows across a connected data landscape using the intuitive UI (monitoring and scheduling*)

§ Schedule task workflow executions and keep track of the status of these workflows (monitoring and scheduling*)

Scalable data operations (DataOps) management solution: Orchestrate data end to end, process data where it is located, and avoid expensive data movement

SCALABLE

4

* Solution feature

Distributed runtimeKubernetes cluster

Connected systemsSAP integration and open connectivity

SAP Data Services softwareData services job

Heterogeneous landscapes

SAP Data Hub solutionSAP HANA extended application services, advanced model

Storagefor example, Amazon S3,Hadoop

SAP HANA smart data integration flowgraphs

Data integration into SAP HANA

SAP Business Warehouse applicationProcess chainsData warehousing processes

3rd party and open sourceDirect connectivity

Storage, messaging, APIs

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Optimal compliance and data governance across the enterprise: Maintain your security policy dynamically in one place and help ensure that policy measures are in place to meet regulatory and corporate requirements

COMPLIANT

5

§ Manage metadata assets across your enterprise: Discover, understand, and consume information about data with the ability to synchronize, operate & share (cataloging*)

§ Detect quality errors and solve them during data pipeline flows, and create complex validation rules to check and prove underlying data quality (modeler*)

§ Include automated mappings, taxonomy suggestions, and semantic discovery in data governance to proactively create insights about usage and data quality

§ Establish and manage security settings and policies for identity control (security and policies*)

* Solution feature

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Secu

rity

SAP Data Hub

SAP Data Hub modeler Self-service data prep SAP Data Hub cockpit

Applications Analytics Target data stores§ Enterprise –

IoT, CRM, ERP, mobile§ Dashboards§ Standard and ad hoc

reporting

§ Business warehouses§ On-premise data stores§ Cloud and hybrid stores

On premise Cloud Hybrid

§ SAP HANA and SAP BW/4HANA

§ 3rd party

§ Cloud object storage§ Cloud Hadoop

§ Cloud and on-premise Hadoop

Such as Such as Such as

User experience

Data discovery and governance

Data refinery and orchestration

Data ingestion andonboarding

SAP Data Hub distributed processing

SAP HANA Hadoop, object storage

SAP Data ServicesETL, batch, data integration

StreamingApache Kafka

Exte

nsio

ns

Attachment

GRAPHICS

X

Applications Analytics Data stores§ Enterprise applications:

CRM, ERP, HRM, …§ Dashboards§ Standard reports§ Ad hoc reporting

§ EDWs and data marts§ Big Data stores§ On-premise stores§ Cloud and hybrid stores

On premise, cloud, and hybrid

SAP Data Hub

Thank you.