Big Data Storage

Data storage is essential and covers different areas. These areas include management, scalability, economics, performance and protection. To gain an advantage the areas listed will need to be monitored at the highest level.

In the area of management it is important to have a system that supports all data types also optimizing data performance and cost through capacity planning, storage utilization and data placement. Managing data properly also includes the process of moving data between systems without disrupting users or applications.

The area of scalability ensures that the system functions efficiently when there is a change in size or the volume of data that is present. The system should be fully equipped to handle any sudden change which technically is possible because there are no set amounts of data that may become available.

Economics is important especially in the area of business because lower cost operation leads to savings and potential higher profits. For data storage we have to ensure that data is stored in the right place at an optimal cost. Separating data that is old and useless is important because aged data may lose its value and has to be stored in a low cost area.

For to data be meaningful there has to be maximum performance of data including the speed of processing, this will ultimately lead to higher performance and operational efficiency today's organizations require to unlock insights from massive volumes of data.

Data protection is important because it ensure data is protected and can be recovered very fast ie within minutes. There is a level of confidence that data can be recovered without glitches especially with the emergence of the “cloud” platform.