datasphere-data-flows

Orchestrate SAP Datasphere replication, transformation, and task chain flows.

25|7|Updated Feb 7, 2026
One-click install
npx skills add https://github.com/MarioDeFelipe/sap-datasphere-plugin-for-claude-cowork --skill datasphere-data-flows
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: datasphere-data-flows
Source: https://github.com/MarioDeFelipe/sap-datasphere-plugin-for-claude-cowork/tree/main/skills/datasphere-data-flows
Command: npx skills add https://github.com/MarioDeFelipe/sap-datasphere-plugin-for-claude-cowork --skill datasphere-data-flows

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Many Datasphere projects require reliable, incremental movement and transformation of large datasets across sources and targets while preserving change data (CDC) semantics, managing costs for outbound targets, and coordinating complex multi-step orchestration; this skill provides prescriptive guidance to reduce failures, runtime inefficiencies, and manual errors across those flows.

Core Features & Use Cases

  • Flow selection & design: Decision matrix for Replication Flow, Data Flow, Transformation Flow, and Task Chain selection based on CDC, real-time, batch, and transformation needs.
  • Implementation guidance: Step‑by‑step creation, deployment, and monitoring instructions for replication, batch data flows with Python operators, delta-aware transformation flows, and task chain orchestration.
  • Operational rules & troubleshooting: Delta prerequisites, POI licensing guidance for outbound targets, performance tuning, and failure diagnostics for common scenarios.
  • Real-world example: Ingest CDS views from S/4HANA via Replication Flow with CDC into a delta-enabled local table, apply incremental SQL transformations with Transformation Flows, and orchestrate nightly jobs with Task Chains.

Quick Start

Use the datasphere-data-flows skill to create a replication flow from CDC-enabled S/4HANA CDS views, deploy to a delta-enabled local table, and add a Transformation Flow into a Task Chain for nightly incremental processing.

Frequently Asked Questions about datasphere-data-flows

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate SAP Datasphere replication flows and transformation flows for CDC?

To orchestrate SAP Datasphere CDC pipelines, configure a Replication Flow from CDC-enabled sources like S/4HANA CDS views, deploy to a delta-enabled local table, and schedule incremental processing using Transformation Flows within Task Chains.

When should I use a replication flow versus a data flow in SAP Datasphere?

Use a Replication Flow for CDC-enabled real-time data movement and delta propagation, and use a Data Flow or Transformation Flow for batch ETL processing or applying delta-aware SQL transformations and Python operator scripting.

How do I build a delta waterfall architecture for incremental ETL in SAP Datasphere?

Build a delta waterfall architecture by chaining CDC-enabled Replication Flows into delta-enabled local tables, applying incremental SQL transformations via Transformation Flows, and orchestrating the sequence with Task Chains for nightly batch processing.

What are the POI licensing requirements for outbound targets in Datasphere data flows?

POI licensing governs external outbound targets in Datasphere data flows. You must verify POI-based licensing prerequisites before deploying flows to external targets to manage outbound data costs and avoid deployment failures.

Can I use Python operators for batch ETL scripting in Datasphere transformation flows?

Yes, you can use Python operator batch scripting within Datasphere Transformation Flows to implement complex ETL logic, enabling advanced data transformations alongside delta-aware SQL operations.

Why are my Datasphere delta propagation tasks failing during task chain execution?

Datasphere delta propagation tasks fail when delta prerequisites are unmet. Ensure source tables are delta-enabled, CDC is active on replication flows, and transformation flows are configured for incremental loads before running task chains.