AWS Certified Data Analytics Specialty 2021 - Hands-On! - Kinesis Data Streams Versus Amazon Simple Queue Service (Amazo

The video tutorial provides a detailed comparison between AWS Kinesis and SQS, highlighting their features, use cases, and differences. Kinesis is ideal for big data streaming and real-time analytics, offering features like data retention and ordering at the shard level. SQS is used for decoupling applications, with options for FIFO queues to maintain order. The tutorial also compares Kinesis Data Streams, Firehose, and SQS in terms of scaling, data retention, and payload size. It concludes with practical use cases and exam preparation tips, emphasizing the importance of understanding these services for AWS certification.

What is the maximum message payload size for Kinesis Data Streams compared to SQS?

Explain the concept of ordering in Kinesis Data Streams and how it differs from SQS.

What are the key differences between Kinesis Data Streams and SQS in terms of data retention?

How does the scaling mechanism differ between Kinesis Data Streams and SQS?

Describe the use cases for SQS and Kinesis Data Streams.