Model
Shape data as a product: HANA Cloud, Datasphere, Business Data Cloud, SAP Analytics Cloud.
This lane is about treating data as a product, not a side effect. If you're building calculation views or stored procedures in HANA Cloud, defining a semantic layer in SAP Datasphere, curating and sharing data products in Business Data Cloud, or wiring up developer-facing models in SAP Analytics Cloud — you're in the right place.
The key question MODEL answers is: "How do I shape data so other apps and analysts can reliably consume it?" That's different from building the app itself (that's Build) or connecting source systems (that's Integrate).
Start here if your job is data modeling, data engineering, or BI development on SAP's cloud data platform. If you're building a transactional app with CAP or ABAP RAP and just need a persistence layer, head to Build first — you can always come bac
Start here
Reference
- HANA Cloud Modeling Guide
Reference for calculation views, HDI containers, and semantic modeling in HANA Cloud
- Datasphere Modeling
Build semantic views, data flows, and analytic models in Datasphere spaces
- SAP Analytics Cloud
Cloud analytics — stories, dashboards, planning, and predictive on top of your data models
- SAP RPT-1 NEW
SAP's relational/tabular foundation model — predict directly on structured data without task-specific training.
- Dremio
Lakehouse platform for SQL analytics directly on data lake storage, built around Apache Iceberg.
- Apache Iceberg
Open table format for huge analytic datasets — the storage standard behind modern lakehouses.
Tools & samples
Keep current
- HANA Cloud What's New
Release notes for HANA Cloud — new features and quarterly capability additions
- Datasphere Roadmap
Public roadmap for SAP Datasphere — planned innovations and delivery timelines
- Dremio Community
Community forum for Dremio users — Q&A, how-tos, and release discussion.
- Data Engineering Weekly
Curated weekly newsletter on data engineering trends, tools, and architecture.
- The Data Stack Show
Podcast with data engineers and founders on how modern data stacks are built and run.
- Reltio Community
Community for Reltio master-data-management practitioners — Q&A and best practices.