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Data Services Features

Learn about new features

Check out the most recent functions and enhancements within SAP Data Services.

Data Integration

Integrate, connect, and process structured or unstructured critical data from SAP or third-party sources within Big Data or enterprise solutions deployed on premise or in the cloud.

Gain access to your data anytime, anywhere

Support databases, applications, files, transports, and unstructured content across 31 languages by connecting to new or popular data sources. You can also tap into our partners’ expertise to access mainframe data sources and address captured data changes for certain sources.

Integrate tightly with SAP applications

Benefit from native access to SAP Business Suite applications. SAP Data Services understands the application model 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 the SAP Data Intelligence solution. This approach provides computing node and connector options.

Stay connected to third-party solutions

Receive native support for third-party data sources, including Microsoft SQL Server, IBM DB2, IBM Informix, Oracle, HP Vertica, MySQL, and Netezza. You can also support adapters for Apache Hive, HTTP, JDBC, JMS, MongoDB, and OData. Furthermore, Big Data and cloud support can be expanded with Microsoft Azure, SAP Cloud Platform Big Data Services, Impala, Cassandra, OData, and Apache Hive.

Optimise SAP Data Services for SAP HANA

Apply a built-in, intelligent optimiser that converts data flow with a choice of approaches: extract, load, and transform (ELT); a push down of all operations to the target database; or extract, transform, and load (ETL). 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, and load (RTL) concepts.

Data Quality

Transform, cleanse, match, and consolidate data by understanding the impact of quality problems on all downstream systems and applications.

Provide a user-friendly experience

Accelerate time to deployment by designing, testing, debugging, editing, maintaining, running, and monitoring data integration and data quality 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 existing capabilities with user-defined changes and customer functions. 

Build trust in your data

Reveal a single version of the truth by defining and standardising your intelligence with built-in address and data cleansing features that 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.

Enable unlimited scalability and high availability

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

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. You can support encryption, decryption, and masking as part of the regular transformation of the ETL process. 

Processing of Text Data

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

Extract and understand your unstructured texts

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

Enable smart data integration and smart data quality in SAP HANA

Data services enabled by SAP HANA

Migrate, integrate, cleanse, and process data in SAP HANA with SAP HANA smart data integration and SAP HANA smart data quality software.

SAP Software Accessibility

SAP is committed to delivering software that is usable by individuals with disabilities. Although our applications include many accessibility features, they are currently not fully optimised for accessibility. You may need to provide client-side, third-party assistive technologies, such as the JAWS screen reader, to be used in conjunction with SAP products.

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