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You are working on a data pipeline for a marketing analytics company that needs to process and analyze customer behavior data from various sources, including web and mobile applications. The pipeline should be able to handle both batch and real-time data. Which AWS services would you use to create this pipeline, and how would you configure them to meet the requirements?
You are working on a data pipeline for a marketing analytics company that needs to process and analyze customer behavior data from various sources, including web and mobile applications. The pipeline should be able to handle both batch and real-time data. Which AWS services would you use to create this pipeline, and how would you configure them to meet the requirements?
Explanation:
Option A is the most appropriate choice for the given scenario. Amazon Kinesis can handle real-time data streaming, while AWS Glue can process both batch and real-time customer behavior data efficiently. Amazon Redshift is a powerful data warehousing solution for storing and analyzing large volumes of processed data. By configuring Kinesis to capture real-time data, Glue to process both batch and real-time data, and Redshift to store and analyze the processed data, the pipeline can handle the requirements of the marketing analytics company.