As data volumes grow faster than budgets it becomes important to control costs for data storage by identifying data by attributes of age, owner, and size quickly. Often a performance limited, human intensive, and prone to error, we will demonstrate tools and tactics to address massive data sprawl. 

In this presentation we will present how we:

• Lowered cost of storage by 5.7x. 
• Minimized time archiving data while avoiding common pitfalls. 
• Automated data movement and maximized network utilization with Globus APIs. 
• Find, copy, and compress data 10-50x than classic tools while being backwards compatible.