The document discusses challenges with processing and storing large amounts of data at petabyte scales. Traditional relational databases do not scale well for this amount of data. The solution proposed uses Hadoop for distributed processing of large datasets and Amazon S3 and NoSQL databases for scalable storage. A software-based storage engine called iMoveS is suggested to intelligently migrate data between different storage options based on policies and access patterns to make management easier and improve performance, availability, and lower costs.