Log Parsing

Log Parsing is the task of converting unstructured log data into a structured format for training machine learning algorithms. The process aims to extract relevant information from log files, transform it into a standardized format, and store it in a database or other data warehouse. By identifying patterns, trends, and anomalies, Log Parsing can support decision-making, enhance system performance, security, and reliability.