Big Data Processing (Operation) Principles

As we proceed with big data projects, we need to clarify the definition, scope and limitations of data. The person who handles data in a typical SI project is called a DBA, which is not a person who deals with actual data but only with the structure of the data. The big data project is a retail customer with 250 discount stores. The aim of the big data project is to enhance the MD's capacity to understand consumer behavior and provide it with the right places for products and services that customers need.

Big Data Processing (Operation) Principles

Most social activities of the public, private services, and corporate management are based on personal information. - The importance of personal information security

Accuracy and Lateness: Data is the most important factor in the analysis and utilization of Big Data. Exactly how to keep this data fresh is up to date.

Data shall be accurate, complete and up to date to the extent required.

If error information is found, it is corrected and a procedure for deletion should be prepared.

The duty of caution shall be exercised in the process of processing the information so that it does not tamper with the information on purpose or by negligence.

The purpose of the data collection shall be specified at the time of collection, and the use thereafter shall be consistent with the purpose of achieving or establishing the specified objective.

2. Securing Stability: Data shall be protected by appropriate safeguards against loss or illegal access, destruction, use, forgery, tampering and disclosure risks. (Managed, Technical and Physical Measures)

Steve(JongMyoung) Park, Ph.D.

Ph.D. in Business Administration

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