Phenomenon of Exponential Multiplication of Data

Automation has led to huge increase in the amount of data that gets captured. As a result of implementation of ERP and CRM solutions by major corporations, increased volumes of database related partners, suppliers and customers is captured and stored. The phenomenon of exponential multiplication of data that gets stored is termed as “Data Explosion”. Every second, continuous inflow of real-time data from various processes, machinery and manual inputs keep flooding the storage servers.

Exponential increase in database is unavoidable especially when the company has a presence across geographical locations and has a wide scale of operations. Though, a large quantity of data helps the business intelligence systems in a better manner, it also has a direct effect on the hardware costs.

According to Cisco Visual Networking Index, data center traffic has already entered the zettabyte era and is expected to quadruple to reach 4.8 zettabytes by 2015. In addition, it is expected that data center traffic will continue to dominate internet traffic going forward. The surge in data traffic is due to increasing usage of cloud based services by consumers and corporations across the world.

Through continuous adoption of technology, organizations can tackle data explosion effectively. Companies like Amazon are trying out innovative ways to store data and improve the scalability of their existing data centers. Experts advice that, a clear data strategy is essential to forecast hardware requirements and this helps to have a unified organization wide plan for use of corporate data.

The data strategy should be based on a combination of the present status of data storage and quantifiable metrics that define future requirements. Some of the major corporations have gone a step further and appointed a Chief Data Officer (CDO) to strategize and regulate enterprise-wide data storage and data mining. The CDO works with the chief executive officer and chief technology officer to come up with appropriate data strategy and hence project future requirements of the corporation.

[This guest post is written by Ramesh Kumar, an avid netizen who specializes in cloud computing, mobility solutions, data sciences, analytics and next gen IT. You can get in touch with him on Facebook or his site]

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