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Use mobility data to derive insights using Amazon SageMaker geospatial capabilities

AWS Machine Learning Blog

To obtain such insights, the incoming raw data goes through an extract, transform, and load (ETL) process to identify activities or engagements from the continuous stream of device location pings. As part of the initial ETL, this raw data can be loaded onto tables using AWS Glue.

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Big Data Syllabus: A Comprehensive Overview

Pickl AI

Understanding ETL (Extract, Transform, Load) processes is vital for students. Students should learn how to leverage Machine Learning algorithms to extract insights from large datasets. Students should learn how to train and evaluate models using large datasets.