Does it support data security and governance?

Yes, it includes detailed guidance for implementing row-level security via Data Access Controls (DAC), space management, and user role administration.

How does this skill assist with data modeling?

It provides standardized patterns and best practices for creating Graphical and SQL views, defining dimensions and measures, and building consumption-ready Analytic Models.

Can it help with real-time data replication?

Absolutely. It provides specific instructions for configuring Replication Flows with delta-capture capabilities and orchestrating them via Task Chains.

Can I use this for third-party data integration?

Yes, the skill covers connectivity and integration patterns for over 40 connection types including AWS S3, Google BigQuery, Azure, Kafka, and Snowflake.

What is SAP Datasphere?

SAP Datasphere is a cloud-native data warehouse solution on SAP Business Technology Platform (BTP) that provides unified data integration, cataloging, and semantic modeling.

SAP Datasphere Expert

Name: SAP Datasphere Expert
Author: secondsky

bysecondsky

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データベース管理

Accelerates SAP Datasphere development by providing expert guidance on data modeling, ETL orchestration, and BTP integration.

概要

This skill equips Claude with specialized knowledge for architecting and implementing data warehouse solutions on SAP Datasphere. It provides production-ready patterns for Data Builder (Graphical/SQL views), Business Builder semantic modeling, and the configuration of complex Analytic Models. From setting up real-time replication flows and task chains to managing space-level administration and implementing row-level security through Data Access Controls, this skill covers the entire lifecycle of data integration on SAP Business Technology Platform.

主な機能

Semantic layer design using Business Builder and Analytic Models
Configuration support for 40+ SAP and third-party connection types
Expert modeling patterns for Graphical and SQL Views in Data Builder
Orchestration guidance for Data, Replication, and Transformation Flows
2 GitHub stars
Best practices for Space Management and Data Access Control (DAC)

ユースケース

Implementing real-time data replication from S/4HANA or cloud sources
Building and scaling cloud-native data warehouses on SAP BTP
Creating analytics-ready semantic models for SAP Analytics Cloud consumption

概要

主な機能

Semantic layer design using Business Builder and Analytic Models
Configuration support for 40+ SAP and third-party connection types
Expert modeling patterns for Graphical and SQL Views in Data Builder
Orchestration guidance for Data, Replication, and Transformation Flows
2 GitHub stars
Best practices for Space Management and Data Access Control (DAC)

ユースケース

Implementing real-time data replication from S/4HANA or cloud sources
Building and scaling cloud-native data warehouses on SAP BTP
Creating analytics-ready semantic models for SAP Analytics Cloud consumption