You've been asked to implement a solution to analyze historical data as well as real-time data. Which BigQuery features can be used to effectively analyze both types of data? (select 2)

*Explanation:* To effectively analyze both historical data and real-time data in BigQuery, you can use **Materialized Views** for faster query performance when working with historical data. Additionally, **BigQuery Streaming API** is suitable for real-time data analysis. Scheduled queries are mainly for periodic data operations and may not be well-suited for real-time or historical data analysis. BigQuery ML is primarily for machine learning tasks and not specifically tailored for real-time or historical data analysis. External Data Sources are not optimized for real-time data processing, and BigQuery Reservations are related to capacity planning.