In Rivery, a river is the term used to describe an execution. There are three different types of rivers:
- Data Source to Target
Data Source to Target
A Data Source to Target river enables you to connect to any of Rivery's native data connectors and load data into a cloud target.
For an overview of a Data Source to Target river, see Data Source to Target Overview .
A Logic river allows for orchestration of your data pipeline as well as in-database transformations via a series of logical steps.
Some common use cases for logic rivers are:
- Building data dependencies
- Prepping data for a BI/dashboarding tool
- Blending data from multiple sources
- Handling unstructured data types
- Adhering to data warehousing best practices (operational data store, staging layer, reporting layer)
For a walkthrough of logic rivers and their functionality, see Logic River Overview .
An Action river provides a REST template for connection to any public API on the web. This is a user-friendly option for connecting to APIs that Rivery does not yet support natively.
If you would like an new Rivery connection built into the tool, contact firstname.lastname@example.org to inquire about our API On-demand program!
For a walkthrough of Action rivers, check out Action Rivers .