SAP Data Warehouse Cloud (DWC) offers a cloud-native, integrated environment to streamline data integration, modeling, and analytics. One of the core capabilities of DWC is its ability to build efficient and scalable data pipelines that enable organizations to move, transform, and prepare data for analytics seamlessly. This article walks you through the process of building your first data pipeline in SAP Data Warehouse Cloud, helping you unlock the potential of your enterprise data.
A data pipeline is a series of processes that extract data from source systems, transform it to meet business requirements, and load it into a target system or data model for reporting and analysis. In SAP Data Warehouse Cloud, data pipelines are primarily created using Spaces, Connections, and Data Builder to orchestrate these ETL-like operations in a graphical, user-friendly environment.
Before building your pipeline, ensure you have:
Navigate to Data Builder
Within your Space, open the Data Builder — the graphical interface for designing data flows and models.
Create a New Graphical View
Click on Create > Graphical View to start building your pipeline visually.
Add Source Tables
Drag and drop tables or views from connected systems into the workspace. For example, select the Sales Orders table from SAP S/4HANA.
Join and Filter Data
Use join nodes to combine tables (e.g., join Sales Orders with Customer Master data). Apply filters to restrict records based on business logic (e.g., orders within the last year).
Create Calculated Columns
Add calculated fields such as Total Sales = Quantity × Price or a conditional status flag.
Aggregate Data
If required, aggregate data to summarize information, such as total sales per region or per customer.
Building your first data pipeline in SAP Data Warehouse Cloud is an accessible and powerful way to unify disparate data sources, apply business logic, and deliver trusted data for analytics. Leveraging the Data Builder’s visual interface, seamless connections, and cloud-native architecture, you can quickly design scalable data pipelines that adapt to your organization’s evolving needs.
Keywords: SAP Data Warehouse Cloud, Data Pipeline, Data Builder, Data Modeling, Data Transformation, SAP S/4HANA, Data Integration, Cloud Data Warehouse, ETL, SAP Analytics Cloud