Which serverless data integration service discovers, prepares, moves, and integrates data from multiple sources?

Which serverless data integration service discovers, prepares, moves, and integrates data from multiple sources?

• A. AWS Glue
• B. AWS Lake Formation
• C. Amazon MSK
• D. Amazon Kinesis Data Firehose

Answer: (A)

This question tests a service designed for end-to-end data integration in a serverless model, including discovering sources, preparing data, and moving and integrating it across systems. The best fit is AWS Glue. It uses crawlers to discover and catalog data from many sources in the Glue Data Catalog, provides ETL capabilities to transform and clean data, and then moves it to target data stores or data lakes. Being serverless, Glue scales automatically and you don’t manage infrastructure. It also offers Glue Studio for visual ETL and supports code-based transformations, making it a comprehensive solution for multi-source data integration. Other options serve related purposes but not this full pattern. AWS Lake Formation focuses on building and governing a secure data lake rather than providing the end-to-end discovery, preparation, and ETL across multiple sources. Amazon MSK handles managed streaming with Kafka, and Amazon Kinesis Data Firehose streams data to destinations but isn’t the general, multi-source ETL and data catalog solution Glue provides.

This question tests a service designed for end-to-end data integration in a serverless model, including discovering sources, preparing data, and moving and integrating it across systems. The best fit is AWS Glue. It uses crawlers to discover and catalog data from many sources in the Glue Data Catalog, provides ETL capabilities to transform and clean data, and then moves it to target data stores or data lakes. Being serverless, Glue scales automatically and you don’t manage infrastructure. It also offers Glue Studio for visual ETL and supports code-based transformations, making it a comprehensive solution for multi-source data integration.

Other options serve related purposes but not this full pattern. AWS Lake Formation focuses on building and governing a secure data lake rather than providing the end-to-end discovery, preparation, and ETL across multiple sources. Amazon MSK handles managed streaming with Kafka, and Amazon Kinesis Data Firehose streams data to destinations but isn’t the general, multi-source ETL and data catalog solution Glue provides.