In today’s fast-paced business environment, real-time data access is essential for timely decision-making and gaining a competitive edge. SAP Data Warehouse Cloud (DWC), as a modern cloud-native platform, supports building real-time data pipelines that enable continuous data flow from operational systems into the data warehouse. This capability allows organizations to monitor, analyze, and respond to events as they happen, fostering agility and insight.
This article explores how to build real-time data pipelines in SAP Data Warehouse Cloud, highlighting key concepts, components, and best practices.
A real-time data pipeline is a system that continuously collects, processes, and delivers data from source systems to a target data warehouse or analytics platform with minimal latency. Unlike traditional batch processing, real-time pipelines handle streaming data or near real-time updates, ensuring data freshness and relevancy.
SAP DWC integrates with SAP and non-SAP systems through various mechanisms to support real-time or near real-time data ingestion:
These could be SAP S/4HANA, SAP ERP, third-party databases, IoT platforms, or cloud applications generating data streams or change data capture (CDC) events.
Determine which business processes require real-time insights and identify relevant data sources capable of streaming or near real-time data export.
Configure replication using SAP SLT or SDI, or set up API/OData service connections for event-driven data capture.
Create dataflows to ingest and transform the streaming data as it arrives, applying filtering, enrichment, or aggregation as needed.
Use the Data Builder to create views and models that reflect real-time data status and support analytics and reporting.
Set up monitoring dashboards to track data latency, pipeline errors, and data quality, enabling quick response to issues.
Building real-time data pipelines in SAP Data Warehouse Cloud empowers organizations to transform their data strategies from reactive to proactive. By leveraging SAP’s integration tools and DWC’s robust modeling and processing capabilities, businesses can harness the power of real-time data for actionable insights, improved operations, and competitive advantage.