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AWS Batch is a service that helps you to run batch computing workloads on the AWS Cloud, which allows you to run tens, hundreds, or thousands of batch computing jobs on AWS. To transfer records in rows from S3 to SQS using AWS Batch, you can follow these steps:

1. Create an S3 bucket and upload records in rows to the bucket.

2. Create an SQS queue to which records in rows will be transferred.

3. Create a job definition in AWS Batch, specifying the details of the job like the name of the job, the Docker image to be used for the job, the job execution role, and other parameters.

4. In the job definition, specify the commands to be run by the job, which in this case would be to read the records from the S3 bucket and transfer them to the SQS queue.

5. Submit the job to AWS Batch, specifying the job definition created in step 3.

6. AWS Batch will launch one or more instances to run the job, and the instances will retrieve and process the records in rows from the S3 bucket and transfer them to the SQS queue.

7. Monitor the progress of the job using AWS Batch console or AWS CLI.

8. Once the job is complete, you can verify that the records in rows have been transferred to the SQS queue by checking the queue.

Overall, AWS Batch can be an efficient way to transfer records in rows from S3 to SQS, as it is a highly scalable and flexible service that can easily handle large volumes of data.