A. Copy the data into Amazon ElastiCache to perform text analysis on the in-memory data and export the results of the model into Amazon Machine Learning.
B. Use Amazon EMR to parallelize the text analysis tasks across the cluster using a streaming program step.
C. Use Amazon Elasticsearch Service to store the text and then use the Python Elasticsearch Client to run analysis against the text index.
D. Initiate a Python job from AWS Data Pipeline to run directly against the Amazon S3 text files.

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