0 / 0
Greenplum connection

Greenplum connection

To access your data in Greenplum, create a connection asset for it.

Greenplum is a massively parallel processing (MPP) database server that supports next generation data warehousing and large-scale analytics processing.

Supported versions

Greenplum 3.2+

Create a connection to Greenplum

To create the connection asset, you need the following connection details:

  • Username and password
  • SSL certificate (if required by the database server)

For Private connectivity, to connect to a database that is not externalized to the internet (for example, behind a firewall), you must set up a secure connection.

Choose the method for creating a connection based on where you are in the platform

In a project
Click Assets > New asset > Data access tools > Connection. See Adding a connection to a project.
In a catalog
Click Add to catalog > Connection. See Adding a connection asset to a catalog.
In a deployment space
Click Add to space > Connection. See Adding connections to a deployment space.
In the Platform assets catalog
Click New connection. For more information, see Adding platform connections.

Next step: Add data assets from the connection

Where you can use this connection

You can use Greenplum connections in the following workspaces and tools:

Projects

  • Data quality rules (IBM Knowledge Catalog)
  • DataStage (DataStage service). For more information, see Connecting to a data source in DataStage.
  • Metadata enrichment (IBM Knowledge Catalog)
  • Metadata import (IBM Knowledge Catalog)
  • SPSS Modeler (Watson Studio)

Catalogs

  • Platform assets catalog

  • Other catalogs (IBM Knowledge Catalog)

Watson Query service
You can connect to this data source from Watson Query.

Greenplum setup

Greenplum Database Installation Guide

Restriction

For SPSS Modeler, you can use this connection only to import data. You cannot export data to this connection or to a Greenplum connected data asset.

Learn more

Parent topic: Supported connections

Generative AI search and answer
These answers are generated by a large language model in watsonx.ai based on content from the product documentation. Learn more