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Download content packages for SAP Analytics Cloud and SAP Datasphere. Find technical samples, best practices or business scenarios. Packages contain data models, visualisations and sample data (if applicable).
This github repository contains the sample code and exercises of btp-ai-sustainability-bootcamp, which showcases how to build Intelligence and Sustainability into Your Solutions on SAP Business Technology Platform with SAP AI Core and SAP Analytics Cloud for Planning.
This is a collection of sample scripts developed as collections in Postman. This provides a means for customers to use the SAP Analytics Cloud SCIM API out of the box.
This repo contains a dataset, exercises, and sample code for an end-to-end SAP BTP data-to-value bootcamp covering SAP HANA Cloud, SAP Data Warehouse Cloud, SAP Data Intelligence Cloud, and SAP Analytics Cloud.
This repository aims to onboard new users into Modeling in SAP Data Warehouse Cloud in the most practical manner. For that you will build a real working data model, which will embrace specific features and functions.
This project contains Node.js scripts and Microsoft Excel templates for creating realistic sample fact data in SAP Analytics Cloud or other data sources.
This project creates an SAP HANA Deployment Infrastructure (aka HDI) container on SAP HANA Cloud and persists actual sales data originated from an external system in the same SAP Data Warehouse Cloud’s existing persistence area.
Sample code to implement a simple example of how to embed an SAP Analytics Cloud story into an external web application using the SAP Analytics Cloud URL API.
This Python wrapper for the SAP Analytics Cloud OData Export API demonstrates the basics for interacting with this API to export metadata and underlying data from SAC.
The sample integration flows in this repository demonstrate how to use SAP BTP Integration Suite to pull data from the SAP Ariba Analytical Reporting API, process it into SAP Data Warehouse Cloud, and analyze it using the SAP Analytics Cloud Spend Analysis business content.
This scenario is primarily intended to empower data driven decisions through analytics forecast using SAP Analytics Cloud, BTP extension application and SAP Build Work Zone, standard edition.