Data Flows

A data flow defines the movement and transformation of data from one or more sources to a single target.

You can manage targets and data flows in the Data Flows tab of the task editor.

A data flow may contain multiple sources, but has a single target object.

A transform is a step in a data flow that acts on a data set. A data flow may contain one or more transforms.

A transform step applies a set of rules or operations to transform the data. You can specify or modify the operations that the software performs.

As you design or debug a data flow, at each transform step you can use the design-time data viewer to preview a sample of the input and output data that would be passed at that step in the data flow.

A task or process cannot be deleted if its associated contents are in use. Find where a data flow is used by viewing its dependencies.

In order to load data to a PGP-protected target file, the public key of the external third-party that will receive the file must be used to encrypt the source file.

In order to read and decrypt a PGP-protected source file, your organization's public key must be used to encrypt the source file.

Import an external (third-party) public key to use when encrypting data you are loading to a file.

Within an SAP Cloud Integration for data services organization, generate a single PGP key pair.

If your organization has multiple agents, all agents must share the same key pair. The file containing the organization's PGP key pair must be stored locally on each system that hosts an SAP Data Services Agent.

Export your organization's public key so it can be used when encrypting the source data.

By calling a web service function in parallel, you can reduce the performance bottleneck caused by row-by-row function calls.