A company is building a data lake and needs to ingest data from a relational database that has time-series data. The company wants to use managed services to accomplish this. The process needs to be…

AWS Glue is a fully managed ETL service that can connect to relational databases using JDBC drivers, extract time-series data, and load it into Amazon S3. It supports scheduling and, importantly, provides job bookmarks that enable incremental data processing, ensuring only new or changed data is ingested daily, which is the most cost-effective approach for this scenario.

This option is identical to option A and provides the same correct solution for ingesting incremental data from a relational database into Amazon S3 using AWS Glue's capabilities.

Ingesting the entire dataset daily contradicts the requirement to 'bring incremental data only.' Processing the full dataset repeatedly is less efficient and more costly than an incremental approach, especially with time-series data that grows continuously.

Ingesting the full data daily is explicitly against the requirement to load 'incremental data only.' This method would incur higher costs and processing overhead by repeatedly processing unchanged historical data, making it inefficient and not cost-effective.