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SAP-samples/teched2025-DA264

A TechEd 2025 jump-start that builds a business semantic model in SAP Datasphere and visualises it in SAP Analytics Cloud, end to end.

The exercises build a Business Data Cloud scenario end to end in SAP Datasphere: importing or uploading data, an optional entity-relationship model, a dimension, a fact view and an analytic model, then reporting on top of it in SAP Analytics Cloud with a top-ten-products view and a revenue-by-geography view. Optional exercises go further into natural-language queries with Just Ask, row-level security through Data Access Controls, more of the analytic model, and a transformation flow using delta tables.

Facts

Last pushLicenceApache-2.0

Where it sits

Lives in
Demonstrates
Analytic modellingBTPAnalytic modellingcapabilityDefining what an analytical client actually reads — the multi-dimensional layer between stored rows and a chart: measures, dimensions, hierarchies, filters and parameters, and the associations somebody navigates them by. Distinct from [analytical queries](capability:analytical-queries), which is a service answering the request a chart sends, and from [loading a warehouse](capability:warehouse-loading), which fills the tables underneath it.

Who is behind it

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maintainerAjay SorengPersonContributes to this
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Akane YasutomiPersonContributes to this
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6 contributors

What it declares

Every artifact

Type
Sample
Origin
By SAP

As a sample

Form
Workshop or CodeJam material

Connections1

SAP-samples/teched2025-DA264 connectionsSAP-samples/teched2025-DA264PROVIDES→ demonstrates1demonstrates authoredAnalytic modelling

README

quoted from SAP-samples/teched2025-DA264 under Apache-2.0, read
SAP-samples/teched2025-DA264/README.mdOn GitHub

REUSE status

DA264 - SAP Business Data Cloud: Explore the analytical components end to end

Description

This repository contains the material for the SAP TechEd 2025 session called DA264 - SAP Business Data Cloud: Explore the analytical components end to end.

Overview

This jump start session will give you the opportunity to build a scenario with exercises for SAP Datasphere and SAP Analytics Cloud.

Find out how SAP Datasphere helps line-of-business users get the job done. Discover flexible connection features, and learn how you can access data from different sources. Create an extendable business semantic model in an agile way, and connect analytics and visualization components in the context of a data warehouse.

Disclaimer

  • Your screenshots may look different than those in the exercises, as new releases might include additional features or enhancements.
  • Some user interface elements might differ from the screenshots used in the exercises.

Requirements

  • Google Chrome Browser or Microsoft Edge based on the Chromium engine

  • Access to this GitHub repository

  • Access to GitHub Repository

    Important Note: The landscape used during SAP TechEd will be available until November 29th. Until then, you can reuse your existing content in your user space and finalize the exercises in case you did not have sufficient time during the workshop.

  • Access to SAP Business Data Cloud tenant

  • Access to SAP Datasphere tenant

  • Access to SAP Analytics Cloud tenant

    • User-ID: AC249258Uxx, where XX are the last 2 digits assigned by the trainers onsite at SAP TechEd.
    • Password: ObaHuRSyEQ1!
  • You will also need a set of files for these exercises
    Download the ZIP-file from the GitHub site: ➡️ (DA264_Resources.zip) (button "download raw file")

⚠️ Once downloaded to your local machine, please unzip the file into a separate folder.
⚠️ You will need it for the exercises. So, please remember the file location of the unzipped files!

Exercises

Be aware that some of the exercises are dependent on each other and must be completed in the sequence provided below.

The Optional Exercises are relevant only if you want to dive deeper into the solution, particularly in learning how to:

  • Create tables (#2)
  • Build Entity-Relationship (ER) models (#3)
  • Instead of importing artefacts via a CSN file (#4).

The exercises in section 4 are all optional. You can explore how to:

  • Leverage Just Ask with SAP Analytics Cloud (#20)
  • Enable row-level security using Data Access Controls (#21)
  • Discover additional features of the Analytic Model (#22)
  • Understand Transformation Flows and the use of delta tables (#23).
  1. Getting Started

  2. SAP Datasphere

  3. SAP Analytics Cloud

  4. Optional Exercises

Have fun 😃

Contributing

Please read the CONTRIBUTING.md to understand the contribution guidelines.

Code of Conduct

Please read the SAP Open Source Code of Conduct.

How to obtain support

Support for the content in this repository is available during the actual time of the online session for which this content has been designed. Otherwise, you may request support via the Issues tab.

License

Copyright (c) 2024 SAP SE or an SAP affiliate company. All rights reserved. This project is licensed under the Apache Software License, version 2.0 except as noted otherwise in the LICENSE file.

Apache-2.0, read

Details

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