A customerhad a data warehouse with close to a 10+ petabyte data store.
In recent times, it has been noticed that the warehouse is getting fuller by the day and has already reached a capacity of 80% utilization. It is becoming increasingly important to manage the situation by either refreshing the entire architecture or augmenting the architecture by adding offloading mechanisms to manage the workload in a cost-effective manner.
• A data management platform that helps store large volumes of data at a lower cost than alternatives such as cheaper servers and storage. Improvedresponsiveness of the data warehouse by performing ETL transformations on a different real-time platform.
• The ability to store, process, and analyse new types of data, which could be our weblogs, security logs, or any of our upcoming web or mobile applications,
• The ability to restore and then sunset data warehouse CPU and storage capacity.