Enterprise Data Pipeline - SAP to Data Lake

GENERALData Pipelineadvanced
Enterprise Data Pipeline - SAP to Data Lake — GENERAL data pipeline diagram

About This Architecture

Enterprise data pipeline architecture ingesting SAP S/4HANA, Salesforce, HRMS, and Excel sources into a multi-zone data lake with Bronze/Silver/Gold medallion layers. Data flows through SAP BAPI/OData extractors, JDBC connectors, and REST API ingestion into object storage, then transforms via Spark ETL and Delta Live Tables with data quality checks and lineage tracking. The curated Silver layer organizes data by domain (Finance, Sales, HR, Ops), while the Gold layer serves aggregated KPIs and MIS summaries to SQL analytics, BI dashboards, and REST APIs. This architecture demonstrates enterprise-grade governance using Unity Catalog, enabling data analysts, executives, data scientists, and ops teams to consume trusted, lineage-tracked analytics at scale.

People also ask

How do you design a scalable data pipeline that ingests SAP, Salesforce, and legacy systems into a cloud data lake with governance and quality controls?

This diagram shows a medallion architecture with Bronze (raw ingestion), Silver (curated by domain), and Gold (aggregated KPIs) layers. SAP BAPI/OData, JDBC, and REST API extractors feed raw data into object storage, then Spark ETL jobs and Delta Live Tables transform and validate data with lineage tracking via Unity Catalog, enabling trusted analytics for analysts, executives, and data scientists

data-engineeringETL-pipelineSAP-integrationdata-lakemedallion-architectureSpark-Delta
Domain:
Data Engineering
Audience:
Data engineers designing enterprise ETL pipelines from legacy ERP systems to cloud data lakes

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About This Architecture

Enterprise data pipeline architecture ingesting SAP S/4HANA, Salesforce, HRMS, and Excel sources into a multi-zone data lake with Bronze/Silver/Gold medallion layers. Data flows through SAP BAPI/OData extractors, JDBC connectors, and REST API ingestion into object storage, then transforms via Spark ETL and Delta Live Tables with data quality checks and lineage tracking. The curated Silver layer organizes data by domain (Finance, Sales, HR, Ops), while the Gold layer serves aggregated KPIs and MIS summaries to SQL analytics, BI dashboards, and REST APIs. This architecture demonstrates enterprise-grade governance using Unity Catalog, enabling data analysts, executives, data scientists, and ops teams to consume trusted, lineage-tracked analytics at scale.

People also ask

How do you design a scalable data pipeline that ingests SAP, Salesforce, and legacy systems into a cloud data lake with governance and quality controls?

This diagram shows a medallion architecture with Bronze (raw ingestion), Silver (curated by domain), and Gold (aggregated KPIs) layers. SAP BAPI/OData, JDBC, and REST API extractors feed raw data into object storage, then Spark ETL jobs and Delta Live Tables transform and validate data with lineage tracking via Unity Catalog, enabling trusted analytics for analysts, executives, and data scientists

Enterprise Data Pipeline - SAP to Data Lake

Autoadvanceddata-engineeringETL-pipelineSAP-integrationdata-lakemedallion-architectureSpark-Delta
Domain: Data EngineeringAudience: Data engineers designing enterprise ETL pipelines from legacy ERP systems to cloud data lakes
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Created by

April 27, 2026

Updated

April 27, 2026 at 4:53 AM

Type

data pipeline

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