Import data from cloud databases
You can import data from the following cloud databases:
- Amazon RDS - MySQL
- Amazon RDS - MS SQL Server
- Amazon RDS - Oracle
- Amazon RDS - PostgreSQL
- Amazon RDS - Maria DB
- Amazon RDS - Amazon Aurora MySQL
- Amazon RDS - Amazon Aurora PostgreSQL
- Amazon Redshift
- Amazon Athena
- Microsoft Azure-MySQL
- Microsoft Azure - PostgreSQL
- Microsoft Azure - Maria DB
- Microsoft Azure - SQL Database
- Microsoft Azure - SQL Data Warehouse
- Google Cloud SQL - MySQL
- Google Cloud SQL - PostgreSQL
- Snowflake
- Oracle Cloud
- IBM Cloud - DB2
- Heroku PostgreSQL
- Rackspace Cloud - MySQL
- Rackspace Cloud - Maria DB
- Panoply
- MySQL
- MS SQL Server
- Oracle
- PostgreSQL
- Maria DB
- MemSQL
- DB2
To import data from a cloud database
1. Create a workspace or open an existing workspace. Click here to see how to create a workspace.
2. Select the Cloud databases category from the left pane and choose the required cloud database. You can also search cloud databases in the search box.
3. Choose your Database service name and Database type.
4. Enter your Database server host.
5. Enter your Database name, username, and password if authentication is required.
6. You can also select the Use SSL checkbox if your database server has been setup to serve encrypted data through SSL.
Note : The Connection name must be unique for each connection.
7. Click Connect.
Note: The connection configuration will be saved for importing data in the future. Credentials are securely encrypted and stored.
8. Select the tables that need to be imported. You can also use SQL query to select and import data.
9. Click Import to begin importing data from your cloud database service.
10. Once you have completed importing data, your dataset will open and you can start preparing your data right away.
Note: You can choose to schedule the import using the Schedule import option available for datasets in your workspace or from the Import menu in the top bar of the DataPrep Studio page. Click here to know more.
To edit the cloud database connection
DataPrep saves your data connections to avoid the hassle of keying in the credentials every time you need to connect to a data source or destination. You can always edit the saved data connection and update them with new parameters or credentials using the Edit connection option.
1. Click Saved data connections from the Choose a data source box while creating a new dataset.
2. You can manage your saved data connections right from the data import screen. Click the ellipsis (3 dots) icon to share, edit, view the connection overview, or remove the connection.
3. Click the Edit connection option to update the saved connection with new parameters or credentials.
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