Subject: SAP Data Warehouse Cloud
In the modern enterprise landscape, data is generated from an ever-growing array of sources — from transactional systems and IoT devices to cloud applications and data lakes. To unlock its full value, organizations must integrate, orchestrate, and govern this data effectively. SAP provides two powerful, complementary solutions for this challenge: SAP Data Warehouse Cloud (DWC) and SAP Data Hub (now part of SAP Data Intelligence Cloud). Integrating these tools enables businesses to build a scalable, flexible, and end-to-end data landscape that combines governance, agility, and analytical depth.
SAP DWC is a cloud-based, business-focused data warehousing solution built on the SAP Business Technology Platform (BTP). It combines data modeling, virtualization, and semantic layering, allowing both IT and business users to collaborate on a single platform for analytics and reporting.
SAP Data Hub (now evolved into SAP Data Intelligence Cloud) is designed for data integration, orchestration, and governance across distributed and heterogeneous environments. It enables organizations to discover, connect, transform, and manage data from virtually any source — whether on-premise or in the cloud.
While SAP DWC provides strong capabilities for modeling and analyzing data, integrating it with SAP Data Hub unlocks advanced data orchestration, complex data pipelines, and connectivity to a wider range of sources. The integration provides:
SAP Data Hub can connect to various sources (e.g., Hadoop, AWS S3, Kafka, SAP ECC, third-party APIs) and ingest data into SAP DWC. This ensures that all relevant enterprise data — regardless of format or origin — is available for analysis in SAP DWC.
Use SAP Data Hub to design and manage complex data pipelines that perform data cleansing, enrichment, and transformation before loading the curated data into SAP DWC. This is especially useful for:
SAP Data Hub supports metadata crawling and federation, allowing SAP DWC to access virtualized data without physical replication. This minimizes data movement and ensures real-time access to up-to-date data.
Integration provides full transparency into data flows, including where data comes from, how it is transformed, and how it is used in reports. This supports compliance with regulations like GDPR and ensures trust in the data.
A typical integration scenario includes:
The architecture flow:
A global manufacturing company uses SAP Data Intelligence to extract real-time sensor data from IoT devices, ERP system data from SAP S/4HANA, and external logistics data from third-party APIs. This data is processed, cleansed, and then ingested into SAP DWC where supply chain analysts build unified models to monitor production efficiency and predict bottlenecks — all in one semantic layer.
Integrating SAP Data Warehouse Cloud with SAP Data Hub / SAP Data Intelligence Cloud creates a powerful synergy that addresses the full spectrum of enterprise data challenges — from acquisition and transformation to modeling and analysis. This integration allows organizations to harness diverse data landscapes, govern data effectively, and deliver actionable insights at scale.
By leveraging this unified architecture, businesses are better equipped to become data-driven enterprises, adapting quickly to change and making smarter, faster decisions.