Resizing
Data has become a valuable asset in the modern-day business environment. As a result, most organizations have invested heavily in computing resources that will enable them to leverage their data resources. Such firms collect enormous amounts of data that consumes considerable amounts of computing resources in the long run. Right-sizing defines the measures put in place by an organization to acquire the optimum operating size. Typically, organizations deploy data governance techniques such as de-duplication and data cleansing to reduce the size of data they hold. Reducing information footprint goes a long way in enhancing the functionality of an organization.
First, reducing and right-sizing data footprint allows maximum usage of existing resources. For instance, reducing the amount of data stored in servers enables software and hardware upgrades and data migration to energy effective technologies. Reducing data footprint also enhances the ability of an organization to process its data. Right-sizing frees up space and processing power, thus reducing the time and effort required to protect data, including data movement and file systems. Also, right-sizing plays an essential role in improving data recovery systems. Reducing data footprint helps in a restart for data recovery scenarios. Lowering the operations on files and data enhances backup by reducing overhead functions.
Right-sizing not only plays an essential role in enhancing computing capabilities within a data center. Additional benefits of IT resources extend to environmental improvement by reducing power consumption and cooling requirements. Reducing power consumption comes along with the maximum utilization of existing storage and computing resources. On an overall note, reducing data footprint has both environmental and computing benefits to an organization. Lastly, these practices also reduce financial expenses within an organization. Right-sizing continuously involves evaluating performance and usage needs and turning off of idle instances.