A municipal trolley farebox database lives in Amazon RDS. The ML engineer needs those tables in the S3 lake without a hand-rolled nightly dump script if a managed extract exists. Which approach is correct?
Select an answer to reveal the explanation.
Short Explanation
Think of farebox tables in RDS that need to land in the S3 lake. Use a managed extract such as AWS Glue. Do not point trainers at the live database like it was a POSIX tree.
Full Explanation
Extract relational rows from Amazon RDS into the ML lake with a relevant AWS option such as AWS Glue. RDS is not the training filesystem. A hand-rolled dump is unnecessary when a managed extract exists. Kinesis is the streaming path, not a table extract.