![]() For information about finding the URL and the specifying the The URL formatting can vary between Databricks Optional: If you're using SQL to query the data, you can choose Context to add context to the connection by specifying valuesįor Databricks, you must provide a JDBC URL. For more specificity in your joins, choose Optional: Drag additional tables to the import pane. You're importing to the Drag and drop table to import Is a name used by Canvas to identify this connection.įrom the tab that has the name of your connection, drag the. For more information about this role, seeĪuthorizing Amazon Redshift to access other AWS services on your Identify the user you want to use to connect to theĪRN of the role that the Amazon Redshift cluster should assume to move and ![]() ![]() The database to which you want to connect. Enter only theĬluster identifier and not the full endpoint of the Amazon Redshift To specify to which cluster you want to connect. In the dialog box, specify your Amazon Redshift credentials: In the SageMaker Canvas application, go to the Datasets page.Ĭhoose Create, and from the dropdown menu, chooseįor Data Source, open the dropdown menu and choose Redshift. To import data from Amazon Redshift, you do the following: To attach this policy, see Grant Users Permissions to Import Amazon Redshift Data. The AmazonRedshiftFullAccess managed policy attached. Before you can import data from Amazon Redshift, the AWS IAM role you use must have You can import data from Amazon Redshift, a data warehouse where your organization keeps itsĭata. You can only import tabularĭata from Amazon Athena, and you can import tabular and image data from Amazon S3. To import data from an Amazon S3 bucket, or to run queries and import data tables with Amazon Athena, seeĬreate a dataset. Policy attached to your user’s role, then you’ll be able to import data from your Amazon RDS databases into Canvas. Connect to data in Amazon S3, Amazon Athena, or Amazon RDSįor Amazon S3, you can import data from an Amazon S3 bucket as long as you have permissions to access the bucket.įor Amazon Athena, you can access databases in your AWS Glue Data Catalog as long as you have permissions through yourįor Amazon RDS, if you have the AmazonSageMakerCanvasFullAccess Review the following sections for more detailed information. For Amazon Athena, you can access any databases that you have in yourįor Amazon S3, you can import data from a bucket as long as you have the necessary permissions. You can create multiple connections to Amazon Redshift. In the AWS Glue Data Catalog, import data from Amazon RDS, or make a connection to an Amazon Redshift database. You can import data from Amazon S3, use Amazon Athena to query a database You might want to import data that you’ve stored in AWS. JDBC URL that contains the necessary credentials. If you’re connecting to a Databricks database, you must have the JDBC connectors: For database sources such asĭatabricks, MySQL or MariaDB, you must enable username and password authentication on the source databaseīefore attempting to connect from Canvas. ![]() Use SaaS connectors with Canvas for more information about connecting to a specific SaaS connector. Policy attached to your user’s execution role, then you’ll have the necessary permissions to import data from SaaS platforms. Policy attached to your user’s execution role, then you’ll be able to access your Amazon RDS databases from Canvas. For more information, seeĪmazon Redshift: To give yourself the necessary permissions to import data from Amazon Redshift, Make sure that the Canvas user has permissions to run Athena queries on the data. Policy attached to your user’s execution role, then you’ll be able to query your AWS Glue Data Catalog with Amazon Athena. Policy and the AmazonSageMakerCanvasFullAccess Identity and access management in Amazon S3 For more information about using AWS IAM to control access to Amazon S3 buckets, see Your user has permissions to access the bucket. Amazon S3: You can import data from any Amazon S3 bucket as long as ![]()
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