Selecting a destination
Before running a preparation, you need to configure the run. The first step
requires you to select or add the destination dataset.
Before you begin
A current limitation makes it not possible to run a preparation to datasets based on the following types of connections:
- Amazon DynamoDB (Database)
- Apache Kudu (Database)
- Azure Synapse (Database)
- REST (Web services)
- FTP (File systems)
- Azure Event Hubs (Messaging)
- RabbitMQ (Messaging)
Procedure
-
Select a destination type from the following options:
- Existing dataset. Select the dataset you want to export the result of the preparation to from the list.
- New dataset. Give a name to the new dataset and specify the connection it will be based on.
- Source dataset. The dataset used as source for the
preparation will be updated with the prepared data.
Here is a list of the connections you can use when selecting Source dataset as the destination:
- Amazon Aurora (Databases)
- Azure Cosmos DB (Databases)
- Delta Lake (Databases)
- Google BigQuery (Databases)
- MariaDB (Databases)
- Microsoft Dynamics 365 (Business applications)
- MongoDB (Databases)
- MySQL (Databases)
- NetSuite (Business applications)
- Oracle (Databases)
- PostgreSQL (Databases)
- Salesforce (Business applications)
- SingleStore (Databases)
- Snowflake (Databases)
- Direct download: The prepared data is exported to a local file.
