Using the first job run to optimize subsequent runs with Azure Data Lake job AU analyzer

added by DotNetKicks
3/30/2018 3:49:21 AM

1 Kicks, 94 Views

Customers have been telling us it's hard to find the right balance between Analytics Units (AUs) and job execution time. For too many users, optimizing a job means running the job in the cloud using trial and error to find the best AU allocation that balances cost and performance.