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You are designing a data ingestion pipeline for a social media application that generates a large volume of user-generated content, including text, images, and videos. The pipeline should be able to handle high data volumes and support various data formats. Which AWS service would you recommend for this scenario, and how would you design the pipeline to handle the different data formats?
A
Use Amazon S3 for data storage and AWS Lambda for data processing, supporting various data formats through custom processing logic
B
Use Amazon DynamoDB for data storage and AWS Lambda for data processing, using DynamoDB's native support for different data formats
C
Use Amazon Kinesis for data ingestion and processing, supporting various data formats through Kinesis Data Analytics
D
Use Amazon Redshift for data storage and AWS Glue for data processing, using Redshift's support for different data formats