A company has stored $10$ TB of log files in Apache Parquet format in an Amazon S$3$ bucket. The company occasionally needs to use SQL to analyze the log files.

Which solution will meet these requirements MOST cost$-$effectively?

A$.$ Create an Amazon Aurora MySQL database. Migrate the data from the S$3$ bucket into Aurora by using AWS Database Migration Service $($AWS DMS$).$ Issue SQL statements to the Aurora database.

B$.$ Create an Amazon Redshift cluster. Use Redshift Spectrum to run SQL statements directly on the data in the S$3$ bucket.

C$.$ Create an AWS Glue crawler to store and retrieve table metadata from the S$3$ bucket. Use Amazon Athena to run SQL statements directly on the data in the S$3$ bucket.

D$.$ Create an Amazon EMR cluster. Use Apache Spark SQL to run SQL statements directly on the data in the S$3$ bucket