data-practitioner video for a data engineering team is tasked with processing large volumes of raw sensor data and transforming it into a format suitable for
A data engineering team is tasked with processing large volumes of raw sensor data and transforming it into a format suitable for analytics in BigQuery. The team is considering several approaches, given that the data must be cleansed and transformed before analytics while minimizing load on the source database. Which approach would be most suitable for this scenario?