The embodiment of the invention provides an interactive automated
big data analysis
system and method. The interactive automated
big data analysis
system includes a data receiving module, an operatormanagement module, an analysis model generation module, a
process analysis and optimization module and a task scheduling execution module. First, the
system supports an interactive function with strong ease of use; second, the system provides users with functions such as batch build process, differentiated
multiplexing process, and
dynamic planning process through flow control operators, which greatly simplifies the building steps of complex analysis processes. In particular, the
process analysis and optimization module is used to perform
algorithm selection for each analysis process, users donot have to consider the
algorithm implementation problem, and the users' use threshold in the
data analysis technical aspect is greatly reduced; in addition, the
process analysis and optimization module is used to perform
hyperparameter selection for processes needing to undergo
hyperparameter optimization. The system automatically selects optimal execution hyperparameters for tasks with uncertain parameters, making the construction and execution of the analysis process more concise and efficient.