SAP-samples/teched2025-DA260
A TechEd 2025 workshop covering SAP Business Data CloudSAP Business Data CloudSAP'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's connectivity options across SAP Analytics CloudSAP Analytics CloudSAP'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 and SAP DatasphereSAP DatasphereSAP'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, by replication, federation and push alike.
The exercises work through inbound integration into SAP Analytics CloudSAP Analytics CloudSAP'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 and SAP DatasphereSAP DatasphereSAP'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 by replication, federation and push, using Replication Flows, live connections, Remote Tables and OpenSQL among them, then cover outbound integration out of Datasphere by JDBC, OData and Replication Flows. It is scoped to setup, data acquisition, integration and transformation for data engineers and architects, and it explicitly leaves zero-copy data-product sharing through BDC Connect out of scope.
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Who is behind it
In the atlas: maintains 222@SAP-samplesmaintainerAjay SorengContributes to this
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What it declares
Every artifact
- Type
- Sample
- Origin
- By SAP
As a sample
- Form
- Workshop or CodeJam material
Connections
Getting data into an analytical store and keeping it current
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README
quoted from SAP-samples/teched2025-DA260 under Apache-2.0, readDA260 - Connect third-party systems in SAP Business Data Cloud and SAP Datasphere
Description
The SAP Business Data Cloud (BDC) solution enables smooth integration of SAP and third-party data. In this hands-on session, you explore different connectivity features in SAP Business Data Cloud (including SAP Datasphere & SAP Analytics Cloud), including setup, data acquisition, integration, and transformation—ideal for data engineers and architects.
This hands-on workshop gives you the opportunity to try out the different integration technologies that are part of the SAP Business Data Cloud offering.
SAP Business Data Cloud includes SAP Datasphere, a comprehensive data service acting as a business data fabric that enables every data professional to deliver seamless and scalable access to mission-critical business data. SAP Datasphere enables access to authoritative data by accelerating time-to-value through automatically reusing semantic definitions and associations from SAP applications. SAP Datasphere enriches all data projects by harmonizing heterogeneous data into a business semantic model of your diverse data landscape. In addition, it helps simplify the data landscape and access all your data across hybrid and cloud environments, no matter where it resides.
Additionally, SAP Business Data Cloud includes SAP Analytics Cloud (SAC), which enables users to visualize data, create interactive dashboards, and perform real-time reporting while supporting collaborative planning and forecasting. Furthermore, it includes capabilities to perform data integration and acquisition with a focus on self-service for business users, allowing them to easily acquire data from various different sources including SAP and third-party data sources.
Important Note:
SAP Business Data Cloud also offers zero-copy sharing of data products with partners (e.g., Databricks) using the BDC Connect functionality. This is one of the fundamental and strategic approaches for SAP to allow seamless bi-directional access to data products, but this is out of scope for this hands-on exercise. You can find more information in the following session from TechEd 2025 as well as in the BDC documentation.
You will also find more information about the different announcements made during TechEd regarding the extended use of zero-copy sharing of data products for additional partners.
Overview
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Learning Goal: Learn how to use various integration capabilities in SAP Business Data Cloud for integrating data from third-party data sources leveraging SAP Datasphere and SAP Analytics Cloud.
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Estimated Time: 2–4 h
Important Note:
Completing all exercises requires more time than the onsite workshop duration. Therefore, feel free to pick the exercises that are most interesting for you!For example, Exercise 1 offers great content for SAP Analytics Cloud with a detailed step-by-step guide and is one of the larger exercises in this hands-on session.
Disclaimer
- Your screenshots may look different than those in the exercises due to new releases or enhancements.
- Some user interface elements might differ from the screenshots used in the exercises.
Requirements
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Chromium-based web browser
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Important Note: The landscape used during DSAG TechExchange will be available until March 30th. 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.
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Access to SAP Analytics Cloud tenant
- User-ID: AC284973Uxx, where XX are the last 2 digits assigned by the trainers onsite at SAP TechEd.
- Password: ObbVKwzfD31!
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This is the intermediate level workshop. Basic know-how about using and integrating data in SAP Business Data Cloud with SAP Datasphere & SAP Analytics Cloud (SAC) is expected.
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General understanding of Enterprise Data Management and ETL (Extraction, Transformation, Load)
Exercises
Important Note:
Please choose the exercises that are most interesting for you! You will likely not be able to cover all exercises during the workshop. The arrows in the illustration below describe dependencies between exercises—for example, you need to complete Exercise 5 before performing Exercises 6 and 7.
A more detailed overview including the links to different exercises is provided below:
Inbound integration
Please find below an overview of the different exercises.
| Product | Replication | Federation | Push |
|---|---|---|---|
| SAP Analytics Cloud | Exercise 1, Exercise 8 | Exercise 2 | |
| SAP Datasphere | Exercise 3 | Exercise 4 | Exercise 5 |
- Exercise 1 - Replicate data into SAC
- Exercise 2 - Live connection in SAC
- Exercise 3 - Replicate data into SAP Datasphere with Replication Flows
- Exercise 4 - Federation in Datasphere with Remote Tables
- Exercise 5 - Push data into Datasphere with OpenSQL
- Exercise 8 - Loading Data into an existing SAC model
Outbound integration
| Product | Pull | Push |
|---|---|---|
| SAP Datasphere | Exercise 6 | Exercise 7 |
- Exercise 6 - Outbound pull of data in SAP Datasphere with JDBC or OData
- Exercise 7 - Outbound push in SAP Datasphere with Replication Flows
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 online session for which it was 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.
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