Live data access for planning is a big theme of the QRC4 2025 release in SAP Analytics Cloud. We already shared how live versions now unlock a new chapter for seamless planning in SAP Business Data Cloud (link). But the paradigm of live data access is coming for models that are not deployed to SAP Datasphere as well! In this case, live versions can link data from our available live SQL sources. So, this applies to our existing connection to Google BigQuery and shall apply to live SQL sources that we add going forward (Microsoft Azure, Snowflake,…). Learn how to add a live version from Google BigQuery in this blogpost!
Adding a live version to a model is easy. It is also easy to create a model from view in Google BigQuery. Here, I will show you how to add a live version to an existing model.
Adding and using a live version from Google BigQuery
Where can I use this feature?
This feature is available for SAP Analytics Cloud models that are not deployed to SAP Datasphere (=not using seamless planning).
Can I use any source view?
Yes. However, not all data types are supported (details).
What can I do with live versions? (And what can I not do?)
You can display the live version data in the model data foundation and in tables, charts, etc. in stories.
You can reference the live version data in model and story calculations as well as data actions (incl. advanced formulas).
You cannot write back to the source. You can copy the live version data into planning versions via copy/paste in the table, data actions and version management.
How do I see if data is live or not?
In models, a live version is highlighted in the data preview. In the version dimension, you see the data source per version.
In tables, live version data is locked for data entry and formatted accordingly. Reasons for unplannable data give accurate information.
Live data access in planning models represents a massive opportunity. SAP Analytics Cloud demonstrates openness and flexibility by offering live versions from live SQL sources.
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