What is the difference between Gen1 and Gen2 operators?

Gen1 are legacy operators for broad compatibility, while Gen2 offer enhanced error recovery, state management with snapshots, and improved Python support.

Does it support custom scripting?

Yes, the skill covers development using subengines for Python 3.9, Node.js, and C++ for creating custom operator logic.

How does this skill help with ABAP integration?

It provides guidance on configuring Cloud Connectors, establishing ABAP connections, and using Metadata Explorer for discovery in S/4HANA and BW.

Can I mix Gen1 and Gen2 operators in one graph?

No, graphs must consistently use either Gen1 or Gen2 operators; they cannot be mixed within the same pipeline.

SAP Data Intelligence Cloud Expert

Name: SAP Data Intelligence Cloud Expert
Author: dherbe-digital

bydherbe-digital

0•

Ciencia de Datos y ML

Streamlines the development of data pipelines, SAP system integrations, and machine learning scenarios within the SAP Data Intelligence Cloud ecosystem.

This skill empowers developers to architect and implement complex data solutions using SAP Data Intelligence Cloud. It provides deep technical guidance on building data processing graphs with Gen1 and Gen2 operators, configuring subengines for Python or Node.js, and integrating ABAP-based systems like S/4HANA. Whether you are creating high-performance replication flows, using the Data Transformation Language (DTL) for complex SQL-like operations, or managing the end-to-end ML lifecycle through the ML Scenario Manager, this skill ensures industry best practices are followed for data movement and processing.

Características Principales

01Deep integration for ABAP, S/4HANA, and SAP BW systems

02End-to-end Machine Learning scenario management and JupyterLab support

030 GitHub stars

04Advanced data transformation with DTL and structured data operators

05High-performance replication flows for diverse data movement tasks

06Graph and pipeline design using Gen1 and Gen2 operators

Casos de Uso

01Implementing complex data transformations using Data Transformation Language (DTL) functions

02Developing and deploying custom Python-based ML models within the ML Scenario Manager

03Designing automated data pipelines to sync SAP S/4HANA data with cloud storage

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dherbe-digital/nova-skills-collection sap-hana-cloud-data-intelligence

For use in Claude.ai and ChatGPT

Características Principales

01Deep integration for ABAP, S/4HANA, and SAP BW systems

02End-to-end Machine Learning scenario management and JupyterLab support

030 GitHub stars

04Advanced data transformation with DTL and structured data operators

05High-performance replication flows for diverse data movement tasks

06Graph and pipeline design using Gen1 and Gen2 operators

Casos de Uso

01Implementing complex data transformations using Data Transformation Language (DTL) functions

02Developing and deploying custom Python-based ML models within the ML Scenario Manager

03Designing automated data pipelines to sync SAP S/4HANA data with cloud storage

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dherbe-digital/nova-skills-collection sap-hana-cloud-data-intelligence

For use in Claude.ai and ChatGPT