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How can a company efficiently convert large .csv files to Parquet format in S3 with minimal operational overhead?
A
Use AWS Lambda to automatically convert uploaded .csv files to Parquet upon each S3 event.
B
Invoke an Apache Spark job via AWS Lambda for each .csv file upload to perform the conversion to Parquet format.
C
Set up AWS Glue with a crawler and scheduled Lambda function using Amazon Athena to periodically convert .csv files to Parquet.
D
Automate the conversion process with an AWS Glue ETL job triggered by Lambda for each new .csv file in S3.
