AWS Certified Data Engineer - Associate
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You are designing a data pipeline for a financial services company that needs to process and analyze large volumes of transaction data daily. The pipeline should be able to handle data from various sources, including 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 suitable choice for the given scenario. Amazon Kinesis can handle real-time data streaming, while AWS Glue can process both batch and real-time 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 data from various sources and meet the requirements of the financial services company.