AWS Certified Data Engineer - Associate
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You are tasked with designing an ETL pipeline for a large e-commerce company that needs to process millions of transactions daily. The pipeline should be able to handle high throughput and low latency. Which AWS services would you integrate to create this pipeline, and how would you configure them to meet the requirements?
You are tasked with designing an ETL pipeline for a large e-commerce company that needs to process millions of transactions daily. The pipeline should be able to handle high throughput and low latency. Which AWS services would you integrate to create this pipeline, and how would you configure them to meet the requirements?
Explanation:
Option B is the most suitable choice for the given scenario. Amazon Kinesis can handle high throughput and low latency for real-time data streaming. AWS Glue can process large volumes of data efficiently, and Amazon Redshift is a powerful data warehousing solution for storing and analyzing processed data. Configuring Kinesis to capture data in real-time, Glue to process data as it arrives, and Redshift to store and analyze the processed data ensures high throughput and low latency.