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You are tasked with designing a data ingestion pipeline for a large-scale IoT application that generates massive amounts of data in real-time. The pipeline should be able to handle high throughput and low latency. Which AWS service would you choose for this scenario, and how would you design the pipeline to meet the requirements?
A
Use Amazon S3 for data storage and Amazon Kinesis Data Analytics for real-time processing
B
Use Amazon DynamoDB for data storage and AWS Lambda for real-time processing
C
Use Amazon Kinesis Data Streams for data ingestion and Amazon Kinesis Data Firehose for data loading
D
Use Amazon Redshift for data storage and Amazon Kinesis Data Analytics for real-time processing