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Data Architecture

Data Architecture for SAP landscapes covers the design decisions that govern how master data, transactional data, and analytical data are modeled, owned, distributed, and governed across ECC, S/4HANA (on-premise, private cloud, public cloud) and BTP-based extensions. It addresses data domains and ownership, master data strategy (central vs distributed), data quality and governance, integration patterns for data movement, clean core implications for data extensibility, migration approaches from ECC to S/4HANA, and the NFRs (consistency, latency, volume, security, auditability) that shape architectural trade-offs.

Overview

Data Architecture for SAP landscapes covers the design decisions that govern how master data, transactional data, and analytical data are modeled, owned, distributed, and governed across ECC, S/4HANA (on-premise, private cloud, public cloud) and BTP-based extensions. It addresses data domains and ownership, master data strategy (central vs distributed), data quality and governance, integration patterns for data movement, clean core implications for data extensibility, migration approaches from ECC to S/4HANA, and the NFRs (consistency, latency, volume, security, auditability) that shape architectural trade-offs.

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