CISP is an information security personnel training system, CISP-BR belongs to a sub-series of CISP, refers to the Certified Big Data Security Analyst, the holder of the certificate to master the process of big data analysis, data analysis algorithm principles, big data system engineering implementation, big data security analysis of common cases, big data system security laws and regulations, and other knowledge content, with a theoretical big data security analysis With the theoretical foundation and practical ability, they can engage in big data security analysis, security management and other work.

CISP-BDSA Knowledge Architecture*** contains six knowledge categories, which are:

1. Preparatory Knowledge for Big Data Security Analysis: Introduces the preparatory knowledge required for big data analysis. Specifically introduces the basic concepts and components of big data, big data analytics, big data security analysis, machine learning, deep learning, supervised learning, unsupervised learning. The practical foundations of big data analytics are presented, including big data analytics programming tools and data processing practices. These constitute the preparatory knowledge that a big data security analyst needs to acquire.

2. Overview of Big Data Security Analytics: Introduces the idea of big data security analytics, the process of big data analytics, and general methods of big data analytics. Specifically introduces the main steps and main content of the implementation of big data security analysis project, briefly introduces the commonly used analysis techniques. These constitute the overview knowledge that big data security analysts need to master.

3, big data security analysis theory: introduces the principles of various algorithms used in big data security analysis, including similarity analysis, correlation analysis, predictive analysis, classification, clustering, machine learning, deep learning and so on. These constitute the theoretical knowledge that big data security analysts need to master.

4, big data security analysis engineering: introduces the data acquisition, data storage, data search, real-time computing, batch computing, computing task management and scheduling, and data visualization. These constitute the engineering knowledge that big data security analysts need to master.

5, big data security analysis applications: introduces the big data security analysis application scenarios, analysis ideas, security modeling and examples. These constitute the application knowledge that big data security analysts need to master.

6, big data security-related policies and regulations: introduces the big data security-related policies and regulations, such as "network security law", and government departments on data security regulations. These constitute additional knowledge that big data security analysts are recommended to master.

Free CISP study materials, knowledge map: /cisp/xxzl/n125.html?fcode=h1000026