The key features and challenges of the process of collecting big data are

Educational data collection requires a combination of technologies, each of which collects data with a different scope and focus.

Big data collection involves the use of multiple databases to receive data from clients (in the form of web, apps, or sensors, etc.), and the ability for users to perform simple querying and processing tasks through these databases.

The main characteristics and challenges of the big data collection process: high concurrency.

The key technologies involved in the big data collection process include: data source selection and high-quality raw data collection methods, entity identification and parsing methods for multivariate data, data cleansing and automatic repair methods, traceability management of data evolution, data loading, streaming computation, and information transfer technologies.

Based on the structural model of educational data, the collection and generation methods and application scenarios of different levels of educational data are different.