We have a 3 node ra3.16xlarge redshift cluster that has to be loaded with 1.5-2 billion records per day. However, it is failing to do so and spilling a lot of data to disk, preventing other queries from execution. All best practices for table design have been followed, is there any suggestion to improve the data load performance?