Learning from historical logs and recommending database operations for data assets in ETL tools

摘要

A data analysis server maintains database operation history data and context data for database operations performed on tables by a set of training users. The data analysis server builds predictive models for using the maintained data to recommend database operations and operands to a set of guided users. The data analysis server trains the predictive models by determining and weighting features derived from context data that are predictive of performing database operations to tables with similar context data. Using the predictive model, the data analysis server generates recommended database operations and operands based on context data received from a data analysis application of a guided user and sends the recommendations to the data analysis application for presentation to the guided user.