DEA-C01 Question 256
Single answerA company is using Amazon Kinesis Data Streams to collect real-time clickstream data from its e-commerce website. They want to process this data in near real-time and store the aggregated results in Amazon S3 for further analysis. Which solution is best suited for this use case?
- A
Use AWS Glue to process the data from Kinesis Data Streams and write the results to Amazon S3.
- B
Use Amazon Kinesis Data Analytics to process the data in real time and write the results to an Amazon S3 bucket.
- C
Use Amazon EMR to read data from Kinesis Data Streams, process it using Apache Spark, and store the results in Amazon S3.
- D
Use AWS Lambda to consume the data from Kinesis Data Streams, process it, and store the results in Amazon S3.
Show answer and explanation
Correct answer: B
Explanation
Amazon Kinesis Data Analytics is the best choice for processing real-time streaming data from Kinesis Data Streams because it is optimized for analyzing and aggregating streaming data in near real-time. It also provides built-in support for writing results to Amazon S3, making it a highly efficient and managed solution for the use case described.
- A. Incorrect.
AWS Glue is primarily used for ETL tasks and batch processing, not for real-time data processing. It is not suitable for near real-time streaming use cases.
- B. Correct.
Amazon Kinesis Data Analytics is designed specifically to process streaming data in real time and can directly write the processed results to Amazon S3. This makes it ideal for the given use case.
- C. Incorrect.
Amazon EMR can handle real-time data processing, but it requires significant setup and ongoing management of the cluster. For this use case, Kinesis Data Analytics is a simpler and more efficient option.
- D. Incorrect.
AWS Lambda can process streaming data, but it is not optimized for aggregating and analyzing large volumes of streaming data in real time. It is better suited for lightweight, event-driven tasks.