Interpretation and download of the report | ink Tianlun July database industry report, be prepared for danger in times of safety, and safety first

The editor : This series analyzes industry trends , Focus on “ Data and cloud ( OraNews )” reply ： download . You can find the document link .

In recent days, , Motianlun community released 《2022 year 7 China's database industry analysis report - In time of peace prepare for war , Safety first 》, The report analyzes the development of China's database market . The following is an excerpt from the report for sharing .

Recently, domestic data security accidents have occurred frequently , Review the past , I was there 《 Data security alert 》 The book describes a large number of cases related to data security , Expect to arouse the industry's warning and vigilance . This is the theme and goal of this issue .

The first edition of the book has been opened for download in Mo Tianlun ：https://www.modb.pro/doc/110

Mo Tianlun ranking 7 Monthly ranking ,TiDB、 Reach a dream 、openGauss In the top three , Among them, Dameng is about to IPO It has aroused heated discussion in the industry , Its hot spots have increased significantly , Beyond openGauss second ,TiDB 7 Monthly points increase 22 branch , Number one ：

Da Mengyu 6 month 29 It's going to be , It will be listed on the science and Technology Innovation Board , Plan to raise money 23.51 One hundred million yuan , After listing, it will become the first share of domestic database . Dream in 2021 The annual operating revenue reached 7.43 One hundred million yuan , Net income of 4.3 One hundred million yuan . Adhere to database research and development 20 year , Finally, it will be abundant .

There are laws to follow in the field of data security ,2021 year 9 month 1 Japan ,《 Data security law of the people's Republic of China 》 In force . Determine the principle of data classification and management , It standardizes the obligations that enterprises should perform when carrying out data processing activities .

Take the financial industry as an example , Three stages of data classification Namely , Business segmentation 、 Data classification 、 Data grading . Grading objective : Complete the data level determination on the basis of classification ; And describe the specific form of the data , Determine the system 、 Storage media 、 Physical position, etc. . 

Enterprise data security can be combed based on five dimensions , Accordingly, corresponding safety protection measures are established . Among these five safety directions , There may be two kinds of security problems :

1. First of all , because Data security problems caused by poor internal management ;
2. second , Security problems caused by external malicious attacks .

Usually, we narrow the security issue to the latter , This is actually one-sided , On the issue of data security , Data loss caused by the former 、 Data corruption , Its incidence and impact are far more than the latter .

Important data security accidents in recent years , Most of them come from open source databases . Open source database 2 The big problem is fundamental ：

    1. It has safety defects , Not as mature as commercial databases ;

    2. Users don't know much about open source databases , There are blind spots in safety .

The two are combined , Make open source database software security problems occur frequently .

Business database , It often contains rich security capabilities , With Oracle Database, for example ,45 The construction in has enabled it to have corresponding protection capabilities in all aspects ：

stay openGauss and MogDB in , Innovative features Fully dense database It is the best protection for safety at present , By storing 、 transmission 、 Calculate three-layer encryption , Make data security get all-round protection , Even if the data file is stolen , Also cannot obtain readable data information ：

To sum up your experience , Follow the principles , I summarized in the past DevOps Of 36 Ji et al , It can help you understand the difficulties we encountered in practice in the past .

Looking forward to the future , Forward looking directions in the field of data security include , Fully dense data processing 、 Data security multiparty Computing 、 Tamper proof data processing 、 Data privacy Computing .

Previous reports are free to download ：

Daily learning , For reference only .

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