Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The disclosure generally describes methods, software, and systems, including a method for using an object definition from which object documents are instantiated defining real-world variants of a physical object and including a meta-model identifying nodes, fields, and associations with other object definitions. The object definition includes, at instantiation of a given object document marking an existence of the physical object, an object identifier node, including an object identifier, and at least one variant type node, including a variant type identifier identifying the real-world variant of the physical object and including variant extension nodes and fields extending the object definition to a variant object definition.

Abstract: 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.

Abstract: Techniques and solutions are described for performing analytics on, or generating displays based on, data retrieved from a plurality of data sources, where the data sources can use one or both of different execution formats or different data schemas. For selected data, one or more analytic queries are generated. Analytic query results are provided in a standardized schema. A blend query is executed against data from the plurality of data sources, including the analytic query results in the standardized schema. Disclosed technologies can facilitate the use of data maintained in different formats or maintained in data sources that have different execution formats or protocols without requiring data replication among the data sources. The disclosed technologies can also provide a platform to which new data sources can easily be added, and can facilitate the use of multiple data sources by non-technical users.

Abstract: 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.

Abstract: 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.

Abstract: Techniques and solutions are described for facilitating deploying tenants to, and managing tenants in, a cloud computing environment. In determining where a tenant should be deployed, cloud-based software applications, or at least cloud-based software applications of a particular type, used by the tenant are considered. Computing resources needed by the tenant are determined. The tenant is deployed to a computing infrastructure that has instances of the cloud-based software applications used by the tenant and has computing resources sufficient to satisfy the needs of the tenant. If the tenant is to access another software application, the data for such application is deployed to that computing infrastructure. If the tenant's computing resource needs exceed the available resources of the infrastructure, resources are added to the infrastructure or the tenant's data for all of the cloud-based software applications are moved to another computing infrastructure.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Techniques and solutions are described for facilitating deploying tenants to, and managing tenants in, a cloud computing environment. In determining where a tenant should be deployed, cloud-based software applications, or at least cloud-based software applications of a particular type, used by the tenant are considered. Computing resources needed by the tenant are determined. The tenant is deployed to a computing infrastructure that has instances of the cloud-based software applications used by the tenant and has computing resources sufficient to satisfy the needs of the tenant. If the tenant is to access another software application, the data for such application is deployed to that computing infrastructure. If the tenant's computing resource needs exceed the available resources of the infrastructure, resources are added to the infrastructure or the tenant's data for all of the cloud-based software applications are moved to another computing infrastructure.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Techniques and solutions are described for performing analytics on, or generating displays based on, data retrieved from a plurality of data sources, where the data sources can use one or both of different execution formats or different data schemas. For selected data, one or more analytic queries are generated. Analytic query results are provided in a standardized schema. A blend query is executed against data from the plurality of data sources, including the analytic query results in the standardized schema. Disclosed technologies can facilitate the use of data maintained in different formats or maintained in data sources that have different execution formats or protocols without requiring data replication among the data sources. The disclosed technologies can also provide a platform to which new data sources can easily be added, and can facilitate the use of multiple data sources by non-technical users.

Abstract: A computer-implemented method for defining queries based on agile semantic objects (ASOs) is provided. Data definitions defining data structures are acquired from a plurality of data sources. The data definitions include information for fields, semantics, and data relationships and semantics for use in analytical environments. Using the data definitions, metadata is defined for ASOs representing data objects in the data definitions. The metadata and the ASOs are stored in an ASO repository. A request for creating a query is received. Metadata representing the ASOs is provided in response to the request for use in a query designer interface. A query based on selected ones of the ASOs is received from the query designer interface. The query is stored in a query repository. A runtime object for executing the query is provided.

Abstract: The disclosure generally describes methods, software, and systems, including a method for using an object definition from which object documents are instantiated defining real-world variants of a physical object and including a meta-model identifying nodes, fields, and associations with other object definitions. The object definition includes, at instantiation of a given object document marking an existence of the physical object, an object identifier node, including an object identifier, and at least one variant type node, including a variant type identifier identifying the real-world variant of the physical object and including variant extension nodes and fields extending the object definition to a variant object definition.