How to load data from Oracle DB to S3 Glue

Learn how to use Airbyte to synchronize your Oracle DB data into S3 Glue within minutes.

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Set up a Oracle DB connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up S3 Glue for your extracted Oracle DB data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Oracle DB to S3 Glue in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.
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How to Sync to Manually

Step 1: Set Up Oracle Database Environment

Ensure that your Oracle database is up and running. You'll need the database credentials, hostname, port, and SID/Service Name ready. Verify that you have the necessary permissions to access the data you intend to move.

Use Oracle's native data export capabilities to extract the data. This can be done using tools like Oracle SQL Developer or through command-line utilities like `expdp` (Data Pump Export) or `exp` (Export utility). Export the data in a format like CSV or SQL dump, which can be easily processed and moved.

Download and install the AWS CLI on your local machine or a server that can access both your Oracle database and AWS services. Configure the CLI with your AWS credentials by running `aws configure` and inputting your Access Key, Secret Key, default region, and output format.

Use the AWS CLI to copy the exported data files from your local environment to an S3 bucket. This can be done using the `aws s3 cp` command. For example:
```bash
aws s3 cp /path/to/exported_data.csv s3://your-bucket-name/directory/
```
Ensure that the S3 bucket is in the same region where you plan to use AWS Glue.

In the AWS Management Console, navigate to the IAM service and create a new role for AWS Glue. Attach policies that grant permissions for reading from the S3 bucket and any other necessary resources. Make sure to note the IAM Role ARN, as it will be needed later.

In the AWS Glue Console, create a new Glue Job. Choose a Spark or Python shell job type based on your requirements. Configure the job to read the data from the S3 bucket. You can use an AWS Glue script to process the data. Specify the IAM role created in the previous step to allow the job to access the necessary resources.

Execute the Glue job and monitor its progress in the AWS Glue Console. Check the "Runs" tab to see the status, logs, and any errors that might occur. Once the job is complete, the data should be available in the target location or processed as needed.
By following these steps, you can efficiently move data from an Oracle database to AWS S3 using AWS Glue without the need for third-party connectors or integrations.