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Data Services Features

Data Integration

Integrate, connect, and process all structured or unstructured critical data from SAP or non-SAP sources, within Big Data or enterprise solutions (on premise or cloud).
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Gain access to your data anytime, anywhere

Support databases, applications, files, transports, and unstructured content across 31 languages. Add connectivity as new or popular sources become needed and tap into the expertise of our partners to access mainframe data sources and handle changed data capture for certain data sources.

Integrate tightly with SAP applications

Benefit from native access to SAP Business Suite applications. SAP Data Services understands the application model fully and accesses relevant metadata. Plus, it reads data based on programming languages such as ABAP, IDocs, BAPI, RFC, and SAP extractors.

Interconnect with SAP Data Hub

Orchestrate data flows from SAP Data Services through SAP Data Hub. This approach provides computing node and connector options.

Stay connected to non-SAP solutions

Leverage native support for non-SAP data sources including Microsoft SQL Server, IBM DB2, IBM Informix, Oracle, HP Vertica, MySQL, Netezza, and adapters for Apache Hive, HTTP, JDBC, JMS, MongoDB, and OData. You can further expand Big Data and cloud support with Microsoft, Azure, SAP Cloud Platform Big Data Services, Impala, Cassandra, OData, and Hive.

Optimise SAP Data Services for SAP HANA

Apply a built-in, intelligent optimiser that will decide to use an ELT (Extract Load Transform) approach, pushing down all operations to the target database, or a traditional ETL approach. The choice is made based on the complexity of the transforms in the data flow. With the ELT approach, SAP Data Services leverages the processing power of SAP HANA for maximum performance.

Fine-tune data replication and transformation

Take advantage of multiple and unique data-capture mechanisms with replicate-transform-load (RTL) concepts.

Data Quality

Transform, cleanse, match, and consolidate data by understanding the impact of quality problems on all downstream systems and applications.
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Provide a user-friendly experience

Accelerate time to deployment and simplify maintenance to lower total cost of ownership. Adopt a productive approach to design, test, debug, edit, maintain, run, and monitor data integration and data quality jobs – from one interface, with one product, on one environment, and through one sign-on. 

Deliver ready-to-use transformations

Interpret, standardise, correct, enrich, match, and consolidate your customer and operational information assets by extending functionality with user-defined changes and customer functions. 

Build trust in your data

Reveal a single version of the truth by cleaning your dirty data. Define and standardise data with built-in address and data cleansing to uncover quality issues, expose hidden problems, and identify untapped relationships.

Data Profiling

Improve performance and scale from one server to many to meet high-volume data needs with parallel processing, grid computing, and bulk data loading.
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Enable unlimited scalability and high availability

Design data services to run in a top-down, right-to-left manner to execute queries automatically with multiple parallel threads. You can also execute the same job – whether in multiple parallel processes on one server or with multiple servers – to improve performance.

Treat your data as a high-value asset

Secure data access with a public key and maintain data relevance and relationships while keeping sensitive information confidential, anonymous, and compliant. Support encryption, decryption, and masking as part of the regular transformation of the extract, transform, and load (ETL) process. 

Processing of Text Data

Unlock meaning from unstructured text data to increase business insights by supporting a wide variety of SAP and non-SAP information sources.

Extract and understand your unstructured texts

Distill unstructured documents from 220 different file and text formats, as well as semistructured data in 31 languages. Pull insights from key entities, facts, relationships, sentiment, tokens, and linguistic artifacts.

SAP HANA smart data integration and smart data quality

SAP Software Accessibility

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