Q: 2
[Data Engineering]
A retail company is ingesting purchasing records from its network of 20,000 stores to Amazon S3 by
using Amazon Kinesis Data Firehose. The company uses a small, server-based application in each
store to send the data to AWS over the internet. The company uses this data to train a machine
learning model that is retrained each day. The company's data science team has identified existing
attributes on these records that could be combined to create an improved model.
Which change will create the required transformed records with the LEAST operational overhead?
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