Subject: SAP-Data-Intelligence
Topic: Creating Simple Data Pipelines
Data pipelines are essential for modern enterprises to collect, process, and analyze data from multiple sources. Within the SAP ecosystem, SAP Data Intelligence provides a powerful platform to design, orchestrate, and monitor data workflows — enabling organizations to seamlessly integrate data across heterogeneous landscapes.
This article walks you through the process of creating simple data pipelines using SAP Data Intelligence, helping you understand the fundamentals of pipeline creation and execution.
A data pipeline is a sequence of data processing steps that move data from source systems to target destinations while optionally transforming, enriching, or validating the data along the way.
SAP Data Intelligence uses a Graph Pipeline Modeler, a visual interface where you can drag and drop components called operators to build your workflows. These operators represent data sources, transformations, and sinks (destinations).
Starting with simple pipelines is important for:
The canvas opens with an empty workspace.
From the operator palette on the left, search for a data source operator. Common examples include:
Drag the appropriate operator onto the canvas.
Select the data source operator.
Configure connection details such as:
Test the connection to ensure the source is reachable.
For simple pipelines, this step may be skipped.
To transform data, add operators such as:
Connect the output of the data source to the input of the transformation operator.
Choose a sink operator to send data to the target system, such as:
Drag the sink operator to the canvas and connect it to the previous operator.
Creating simple data pipelines in SAP Data Intelligence is an excellent way to familiarize yourself with the platform’s capabilities and kickstart your data integration journey. With a drag-and-drop interface and prebuilt operators, SAP Data Intelligence simplifies complex data orchestration tasks — empowering businesses to unify and leverage their data assets efficiently.
Once comfortable with simple pipelines, you can explore more advanced features such as machine learning operators, metadata management, and automation workflows — all critical for unlocking the full power of SAP Data Intelligence.