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The web development team at an IT company has about 200 TB of web-log data that is stored in an Amazon S3 bucket as raw text. Each log file is identified by a key of the type year-month-day_log_HHmmss.txt where HHmmss denotes the time the log file was created. The data engineering team has created an Amazon Athena table that links to the given S3 bucket. The team executes several queries every hour against a subset of the table's columns. The company wants a Hive-metastore compatible solution that costs less and requires less maintenance to support the ongoing analytics on this log data. As an AWS Certified Data Engineer Associate, which of the following solutions would you combine to address these requirements? (Select three)