Sap Hana Cloud Data Intelligence

AndreaFusar/https-github.com-secondsky-sap-skills

Updated May 19, 2026
AndreaFusar/https-github.com-secondsky-sap-skills

SAP HANA Cloud Data Intelligence is an agent skill for developers and integrators working in SAP Data Intelligence Cloud who need pipelines, not placeholders. It guides creation of processing graphs with operators, hooks into ABAP and S/4HANA, replication flows, and ML work in JupyterLab, including Data Transformation Language functions. Coverage spans Gen1 and Gen2 operator models, subengines in Python, Node.js, and C++, structured data operators, and repository objects—so the agent can reason about real DI artifacts instead of generic ETL advice. Install it when you are extending a SAP-centric data platform, wiring corporate ERP data into analytics or ML, or debugging operator graphs that must compile and run in a governed cloud tenant. Prism places it in Build integrations because the deliverable is connective data machinery inside SAP’s stack. It assumes familiarity with SAP landscape concepts and tenant access; it is not a substitute for SAP basis provisioning or non-SAP warehouse design.

Key points

Data processing pipelines and graphs with SAP Data Intelligence operators
Gen1 and Gen2 operators plus Python, Node.js, and C++ subengines
ABAP and S/4HANA integration and replication flow patterns
ML scenarios with JupyterLab and Data Transformation Language (DTL) functions
Structured data operators and repository object workflows in DI Cloud

Sap Hana Cloud Data Intelligence by the numbers

Data as of Jul 7, 2026 (Skillselion catalog sync)

/plugin marketplace add AndreaFusar/https-github.com-secondsky-sap-skills

/plugin install sap-hana-cloud-data-intelligence@sap-skills

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Last updated	May 19, 2026
Repository	AndreaFusar/https-github.com-secondsky-sap-skills ↗

What it does

Build and extend SAP Data Intelligence Cloud graphs that connect ABAP/S4HANA, replication flows, and JupyterLab ML with Gen1/Gen2 operators and DTL.

Files

SKILL.mdMarkdownGitHub ↗

Develops data processing pipelines, integrations, and machine learning scenarios in SAP Data Intelligence Cloud. Use when building graphs/pipelines with operators, integrating ABAP/S4HANA systems, creating replication flows, developing ML scenarios with JupyterLab, or using Data Transformation Language functions. Covers Gen1/Gen2 operators, subengines (Python, Node.js, C++), structured data operators, and repository objects.

sap-hana-cloud-data-intelligence

Source: ./plugins/sap-hana-cloud-data-intelligence

{ "name": "sap-hana-cloud-data-intelligence", "source": "./plugins/sap-hana-cloud-data-intelligence", "license": "GPL-3.0", "version": "2.2.0", "category": "hana", "keywords": [ "abap", "cloud", "data", "database", "hana", "hdi", "intelligence", "node.js", "python", "sap", "sap-hana-cloud-data-intelligence", "sql", "sqlscript" ], "description": "Develops data processing pipelines, integrations, and machine learning scenarios in SAP Data Intelligence Cloud. Use when building graphs/pipelines with operators, integrating ABAP/S4HANA systems, creating replication flows, developing ML scenarios with JupyterLab, or using Data Transformation Language functions. Covers Gen1/Gen2 operators, subengines (Python, Node.js, C++), structured data operators, and repository objects." }