hda-cross-pm-samples

An ongoing collection of tutorials and use cases for SAP HANASAP HANAplatformSAP’s relational database platform, which stores application data and executes SQL and SQLScript in the database, available on-premise and as the managed service SAP HANA Cloud.sap official, btp database and analytics products, including SAP DatasphereSAP DatasphereserviceSAP's cloud data warehouse: spaces, modelled views and analytic models over data brought in or federated from source systems, with the business context carried along rather than rebuilt.sap official, btp and SAP Analytics CloudSAP Analytics CloudserviceSAP's SaaS front end for analytics: business intelligence, planning and predictive in one product, and the place a Datasphere analytic model is meant to end up being read.sap official, btp.

SAP's analytics products span several tools, and this repository collects tutorial series that run across them. The SAP DatasphereSAP DatasphereserviceSAP's cloud data warehouse: spaces, modelled views and analytic models over data brought in or federated from source systems, with the business context carried along rather than rebuilt.sap official, btp series covers importing a dataset, creating an entity-relationship model and a graphical view, creating an analytic model, connecting to SAP HANA CloudSAP HANA CloudserviceThe managed database under most of this: CAP's default target, the store Datasphere and Analytics Cloud sit on, and a service with plans and components.sap official, btp and a SuccessFactorsSAP SuccessFactorsoutside the atlasSAP's cloud HR suite, run by SAP as software as a service and reached from outside through its OData APIs. The product behind the SAP SuccessFactors door: what is entered there is the tooling that reaches into it, and the product itself is not an option. Its Extensibility service is a BTP service and sits on the BTP door, where SAP's catalogue lists it. instance, importing from the Data Marketplace and building an SAP Analytics CloudSAP Analytics CloudserviceSAP's SaaS front end for analytics: business intelligence, planning and predictive in one product, and the place a Datasphere analytic model is meant to end up being read.sap official, btp story on the result; a second series covers configuring SAP Business Data CloudSAP Business Data CloudserviceSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp, installing and consuming intelligent applications, and enriching data products with machine learning through SAP Databricks. It states no overall requirements, leaving each exercise to list its own, and the README calls it an ongoing project rather than a finished set.

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