Sap Se

Tobias Hoehmann

Peter Weddeling

Bare Said

Baré Said

Jan Teichmann

Karl Fuerst

Soroush Momen-pour

Peter Lang

Andreas Balzar

Hristina Dinkova

Dennis Koerner

Andreas Linke

Muamer Rovcanin

Dariusz Bil

Mehdi Hsoumi

Arpad Tornyai

Allan Felipe Brochier Dos Santos Da Silva

Viktor Kehayov

Michael Saupe

David Foerderer

A tenant separation architecture is provided to adopt tenant separation for remote integration of various OEM systems with a cloud-based analytics application. The tenant separation architecture provided herein allows for tenant separation in a wide range of modules in different OEM integration scenarios through a token-base authentication. Application server tenants and database tenants may be accessed for application of the tenant separation. Moreover, the tenant separation implementations disclosed herein may be applied to different modules for metadata, tenant configuration, authorization concepts, and general data protection regulation (GDPR) adoption.

Tenant separation for analytical applications in a remote application integration scenario

The present disclosure pertains to systems and methods for providing search results. A database server may include both a database and a search engine. The database server can receive a search request from an application of a remote computer. The search request can include one or more search terms and permission information. The database server can determine adapting information using the permission information. The database server can provide a search call based on the search request and the adapting information to the search engine. The search engine can determine one or more search statements for the search call. The search engine can execute the one or more search statements on one or more stored search models to obtain database results reflecting the permission information. The database server can provide search results based on the database results to the application of the remote computer.

Database search integration

Methods, systems, and computer-readable storage media for receiving, by a QMS executed within a first data center, a query definition provided from a browser of an analytics platform executed within the second data center, the query definition being stored in a query repository, being validated by the QMS based on analytical metadata, and being stored in a mirror query repository of the first data center, providing, after validation of the query definition, a calculation scenario as an object model based on the query definition, executing, by a calculation engine within the first data center, the calculation scenario to provide an analytical artifact including a query-level calculation view on transactional data stored in the first data center, and transmitting, by the first data center, the analytical artifact to the second data center to perform analytics on at least a portion of the transactional data stored in the first data center.

Query and metadata repositories to facilitate content management and lifecycles in remote analytical application integration

The present disclosure pertains to systems and methods for providing search results. A database server can include both a database and a search engine. The database server can receive, from a software service server, storage metadata indicating a plurality of tables of the database and fields of each of the plurality of tables. The database can generate a metadata search index, including tables and fields populated based on the storage metadata, and store it on the database. The database server may receive a search request including one or more search terms from a query-building application of a remote computer. The search engine can determine search statements based on the search request and execute the search statements on a view of the stored metadata search index to obtain index search results. Metadata search results based on the index search results can be provided to the query-building application.

Metadata search for remote applications

A system, a method, and a computer program product for performing component integration. A first computing system generates a computing component for integration with a second computing system. The first computing system provides the computing component to the second computing system. The second computing system configures the computing component for operation by the first computing system with at least one computing component of the second computing system. The first computing system operates the configured computing component in the second computing system.

Component integration

A data source integration architecture is provided for integrating application systems with an analytics system for user querying and data retrieval. The integration includes flexibly configuring base data sources as defined by an analytical model of an application system, such as an OEM application. In response to a query, metadata is fetched from an application server, where the metadata may contain a description of underlying artifacts of the structural part of the analytical model. During query generation, these specific views are injected into a query view and a parametrization is added for data source modulation. In addition, a flexible configuration of the final shape of the base data source specifically allows for the requirements of the OEM application to be addressed.

Flexible adoption of base data sources in a remote application integration scenario

Methods, systems, and computer-readable storage media for receiving, by a query manager service (QMS) executed within a first data center, a query definition provided from a browser of an analytics platform executed within a second data center, providing, by the QMS, a calculation scenario as an object model based on the query definition, executing, by a calculation engine within the first data center, the calculation scenario to provide an analytical artifact including a query-level calculation view on transactional data stored in the first data center, and transmitting, by the first data center, the analytical artifact to the second data center to perform analytics on at least a portion of the transactional data stored in the first data center.

Generic analytical application integration based on an analytic integration remote services plug-in

Implementations include actions of receiving, by a QMS executed within a first data center, a query definition provided from a browser of an analytics platform executed within the second data center, providing, by the QMS, a raw calculation scenario as an object model based on the query definition, and one or more filters, processing, by the QMS, the raw calculation scenario to provide an enhanced calculation scenario, the enhanced calculation scenario incorporating one or more relationships based on at least one of the one or more filters, executing, by a calculation engine within the first data center, the enhanced calculation scenario to provide an analytical artifact including a query-level calculation view on transactional data, and transmitting, by the first data center, the analytical artifact to the second data center to perform analytics on at least a portion of the transactional data stored in the first data center.

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Heidelberg, Germany

Tobias Hoehmann