AWS Certified Data Analytics Specialty 2021 – Hands-On - Kinesis - Handling Duplicate Records

The video tutorial explains the occurrence of duplicate records in Kinesis Data Streams due to network timeouts on the producer side and retries on the consumer side. It highlights the importance of embedding unique record IDs to deduplicate data and making consumer applications idempotent to handle duplicates. The tutorial also outlines four scenarios where consumer retries can occur and suggests handling duplicates at the final destination, such as a database. Key points are emphasized for exam preparation.

How can you make your consumer application idempotent to handle duplicates?

What is the recommended approach to handle duplicates at the final destination in Kinesis Data Streams?