AWS Certified Data Analytics Specialty 2021 – Hands-On - DynamoDB in Big data

The video tutorial discusses various use cases for MDB, highlighting its suitability for applications requiring hot data ingestion at scale. It outlines anti-patterns for using Dynamodb, suggesting alternatives like RDS for complex transactions and S3 for storing large, low IO data. The tutorial emphasizes the importance of choosing the right database based on data characteristics, with Dynamodb being ideal for hot, smaller data and S3 for colder, larger data.

What is the recommended approach for storing large binary objects according to the text?

How does the text differentiate between 'hot' and 'cold' data in relation to storage options?