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Access activated

You can now register for free Live Sessions.

btp-trial-content-test (btp-trial-content) - 2026-03-18T04:00:01.225Z

Introduction

Logon to SAP Datasphere

Explore your own space

Get an introduction to SAP Datasphere and the workbook scenario. An overview of the architecture and content gives an insight into the data entities and modeling layers of the scenario.

btp-trial-content-test (btp-trial-content) - 2025-11-05T09:38:19.918Z

Getting started with SAP Datasphere

Define a Replication Flow

Create a Data Flow

Define Remote Tables

Direct Data Upload

Summary

Become familiar with the data federation and replication capabilities of SAP Datasphere. Import data from SAP and non-SAP sources, using several tools and methods, to build up a data ingestion (inbound) layer. 

Data Acquisition

Define Product Dimension

Define Address Dimension

Define Business Partner Dimension

Create a Sales Fact Data Model

Work with the Data Builder to create graphical views, that build the foundation of your data modeling on top of the remote or local tables. Choose the semantic usage types to define the Dimensions and the Sales Fact data objects.

Data Modeling

Define the Analytic Model

Preview the Analytic Model Data

[Optional] Analytic Model Template

Analytic models are the analytical foundation for making data ready for consumption in SAP Analytics Cloud. Define a multi-dimensional model to provide data for analytical purposes to answer different business questions. Pre-defined measures, hierarchies, filters, parameters, and associations provide flexible and simple navigation through the underlying data.

Analytic Modeling

[Optional] Log On to SAP Datasphere

[Optional] Import Analytic Model

Log On to SAP Analytics Cloud

Create a New Story (Optimized Story Experience)

Add Charts

Add Geo Map

Add Table

Linked Analysis and Input Controls

Just Ask

Use SAP Analytics Cloud to build an analytic story directly against the data modeled in SAP Datasphere.

SAP Analytics Cloud Reporting

Explore the Catalog

The SAP Datasphere Catalog is the central place to discover, enrich, classify, and publish high-quality, trusted data and analytic assets from across your enterprise.

Open SQL Schema

Data Access Control

Gain an insight into the possibilities of SAP Datasphere, covering additional aspects of data ingestion and modeling.

Additional Content

Product Information and Learnings

Further information and learning offerings of SAP Datasphere. 

Further Learnings

The content is designed to present an end-to-end data modeling scenario and consists of multiple units. Participants will explore, how to use replication and federated data from several sources in SAP Datasphere (Data Acquisition Unit), create graphical views in the data layer, representing dimension and fact entities (Data Modeling Unit) and define a multi-dimensional model to provide data for analytic purposes to answer different business questions (Analytic Model Unit). 
 
Then create an analytic story against the data model in SAP Datasphere (Visualization Unit).
 
Finally, the Catalog (Unit) unlocks the full potential of your data. Use it to map out a complete and connected view of all your data sources, build and apply standards and processes, and offer trusted self-service data discovery to all your users.

btp-trial-content-test (btp-trial-content) - 2026-02-04T04:00:01.758Z

Basic Trial - SAP Datasphere Overview

The content is designed to present an end-to-end data modeling scenario and consists of multiple units. Participants will explore, how to use replication and federated data from several sources in SAP Datasphere (Data Acquisition Unit), create graphical views in the data layer, representing dimension and fact entities (Data Modeling Unit) and define a multi-dimensional model to provide data for analytic purposes to answer different business questions (Analytic Model Unit). Then create an analytic story against the data model in SAP Datasphere (Visualization Unit). Finally, the Catalog (Unit) unlocks the full potential of your data. Use it to map out a complete and connected view of all your data sources, build and apply standards and processes, and offer trusted self-service data discovery to all your users.