Data Middle Office Construction (10): Data Security Management

​Data Security Management

The data security management mentioned in the Data Center focuses on the data security management within the enterprise, which is a narrow sense of data security management, and focuses on the security management technical means of the big data platform.

In the era of big data, the entire life cycle of data includes: data generation, data storage, data transmission, data use, data sharing, and data destruction.All people have different data security risks.In the data center, data security can be achieved with the help of some technical means.

1. Unified security authentication and authority management

There are many security management technologies in big data, such as: Kerberos, Ranger, Hive, ClickHouse also have their ownWe can use these technologies to achieve data security management in data collection, data development, and data system.

2. Data resource isolation

For the use of data by business parties, we can also implement the data authorization platform ourselves to decide which departments and who have the right to access sensitive data.Permissioned data resources are isolated.

3. Data encryption

When data is transmitted between networks, data encryption can be considered. Data encryption is to use a special algorithm to change the original information dataMake it unreadable or meaningless, so that unauthorized users can obtain encrypted information, and still cannot understand the content of the information because they do not know the method of decryption.

4. Data desensitization

In order to prevent the leakage of user privacy data, business secrets and other information during data transmission, sharing and display, big data primary keys orThe self-built platform desensitizes the data.

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