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  1. Preface
  2. Introduction to PostgreSQL Connector
  3. Connections for PostgreSQL
  4. Mappings and mapping tasks with PostgreSQL Connector
  5. PostgreSQL objects in mapping tasks
  6. Lookup transformation
  7. SQL transformation
  8. Migrating a mapping
  9. PostgreSQL SQL ELT optimization
  10. Data type reference

PostgreSQL Connector

PostgreSQL Connector

Introduction to PostgreSQL Connector

Introduction to PostgreSQL Connector

You can use PostgreSQL Connector to securely read data from
or write data to
PostgreSQL.
You can use PostgreSQL Connector to connect to the following databases:
  • Amazon Aurora PostgreSQL
  • Azure PostgreSQL private endpoint on a virtual network
PostgreSQL sources
and targets
represent tables in PostgreSQL. You can create a PostgreSQL connection and use the connection in mappings and
mapping
tasks to read from
or write data to
PostgreSQL. Create a
mapping
task to process data based on the data flow logic defined in a mapping or integration template.
When you run an PostgreSQL mapping or
mapping
task, the Secure Agent writes data to PostgreSQL based on the defined data logic and the configured PostgreSQL connection.
You can switch mappings to advanced mode to include transformations and functions that enable advanced functionality.
Example
You work for an organization that stores purchase order details, such as customer ID, item codes, and item quantity in a MySQL database. You need to analyze purchase order details and move data from the MySQL database to a cloud-based environment. Create a mapping to read all the purchase records from the MySQL database and write them to an PostgreSQL target for data analysis.

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