Which feature of BigQuery helps to derive insights from unstructured data?

The selection highlights the importance of machine learning integration within BigQuery for analyzing unstructured data. BigQuery offers built-in machine learning capabilities through BigQuery ML, which enables users to create and execute machine learning models directly using SQL queries. This integration is particularly valuable for handling unstructured data such as text, images, or audio, as it provides tools for natural language processing, image classification, and other machine learning tasks that can extract meaningful patterns and insights from data that do not have a predefined structure.

Utilizing this feature allows data scientists and analysts to train models without needing to export data to external tools, thus streamlining the workflow and reducing latency associated with data transfer. The ability to handle unstructured data effectively transforms raw data into actionable insights, making machine learning integration a powerful feature in BigQuery.