T/SDBDA 3-2020 Data acquisition engineer competency evaluation specification
T/SDBDA 3-2020 Data acquisition engineer competency evaluation specification
Basic Information
Scope
Scope: This standard specifies the terms and definitions, competency requirements, and evaluation methods for the assessment of data collectors' competencies. This standard applies to the competency assessment of data collectors; Main technical content: 4. Competency requirements 4.1 Qualification requirements Those who meet one of the following conditions: a) Students and graduates of secondary vocational schools, higher vocational schools, and undergraduate programs, with majors including computer application, website construction and management, mobile application technology and services, information statistics and analysis, statistical and accounting, economic information management, e-commerce, cloud computing technology and applications, data technology and applications, intelligent science and technology, etc.; b) Those who have worked in the field of big data for more than 1 year. 4.2 Basic quality requirements 4.2.1 Data collectors should possess the capabilities related to data collection, data organization, and data storage, have a foundation in programming and development, and understand the basic overview of data storage. 4.2.2 Data collectors should possess the following basic qualities, including but not limited to: a) Be familiar with the regulations and norms related to data collection; b) Master data collection technologies and applications; c) Have the ability to analyze common data collection scenarios; d) Be able to collect data information using programming development and tool customization; e) Have the ability to accurately split and clean various types of data; f) Have the ability to design data storage table structures; g) Have the ability to analyze and collect unstructured data. 4.3 Business knowledge requirements 4.3.1 Business knowledge dimensions Mainly including three dimensions: basic knowledge, professional knowledge, and related knowledge, as shown in Table 1. 4.3.2 Knowledge level requirements The evaluation content of knowl