This is a dedicated watch page for a single video.
You've designed a system for analyzing seismic data, with an Extract, Transform, and Load (ETL) process conducted through a series of MapReduce jobs on an Apache Hadoop cluster. However, the ETL process takes an extensive amount of time due to computational complexity, exacerbated by the omission of a critical sensor calibration step. How should you adjust the ETL process to systematically incorporate sensor calibration moving forward?