Explanation:
Amazon S3 is a scalable and durable storage service suitable for storing large volumes of genomic data. Amazon EMR, a managed big data platform, supports various analytics frameworks like Apache Hadoop and Apache Spark, which are ideal for processing and analyzing genomic data. This combination provides the necessary storage and analytics capabilities for a large-scale genomic study.
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A research institution is conducting a large-scale genomic study that requires storing and analyzing petabytes of genomic data. The data is in various formats, including FASTA, VCF, and BAM. Which AWS storage and analytics solution would you recommend, and why?
A
Amazon S3 for storage and Amazon Redshift for analytics.
B
Amazon EBS for storage and Amazon Athena for analytics.
C
Amazon S3 for storage and AWS Glue for analytics.
D
Amazon S3 for storage and Amazon EMR for analytics.