Which solution will meet these requirements?
Migrate the database to Amazon Aurora PostgreSQL by using AWS Database Migration Service (AWS DMS). Store the videos as base64-encoded strings in a TEXT column in the database.
Migrate the database to Amazon DynamoDB by using AWS Database Migration Service (AWS DMS) with the AWS Schema Conversion Tool (AWS SCT). Store the videos as objects in Amazon S3. Store the S3 key in the corresponding DynamoDB item.
Migrate the database to Amazon Keyspaces (for Apache Cassandra) by using AWS Database Migration Service (AWS DMS) with the AWS Schema Conversion Tool (AWS SCT). Store the videos as objects in Amazon S3. Store the S3 object identifier in the corresponding Amazon Keyspaces entry.
Migrate the database to Amazon DynamoDB by using AWS Database Migration Service (AWS DMS) with the AWS Schema Conversion Tool (AWS SCT). Store the videos as base64-encoded strings in the corresponding DynamoDB item.
Explanations:
Storing video files as base64-encoded strings in a TEXT column in a database is not efficient, especially for large files (up to 4 GB). This approach would significantly increase the database size, reduce performance, and lead to high latency when retrieving videos. Additionally, relational databases are not optimized for large binary files.
Migrating to Amazon DynamoDB provides a highly scalable NoSQL solution, and using Amazon S3 for video storage allows for efficient handling of large files. Storing the S3 key in DynamoDB enables quick access to the videos without impacting application performance. This architecture supports rapid scaling and is cost-effective.
While Amazon Keyspaces (for Apache Cassandra) is a scalable solution, it is less commonly used for this scenario compared to DynamoDB. Storing videos in Amazon S3 is appropriate, but using Keyspaces adds unnecessary complexity, and the integration is not as straightforward as using DynamoDB, which is specifically designed for high throughput and low-latency operations.
Similar to option A, storing video files as base64-encoded strings in DynamoDB is inefficient for large files. This would lead to increased storage costs and slower performance when accessing the videos. DynamoDB is better suited for storing references (such as S3 keys) rather than the actual video content in an encoded format.
As I recall, the answer is:
Migrate the database to Amazon DynamoDB by using AWS Database Migration Service (AWS DMS) with the AWS Schema Conversion Tool (AWS SCT). Store the videos as objects in Amazon S3. Store the S3 key in the corresponding DynamoDB item.