Free AWS Certified Solutions Architect Associate SAA-C03 Practice Question
Which service is best suited for performing tasks such as categorizing data, transforming it into different formats, and cleaning it before delivering it to various data storage systems?
Glue is a managed service designed to simplify data preparation tasks, providing the capabilities to perform ETL operations such as data categorization, cleaning, and transformation into different formats before being loaded into data storage systems. Kinesis is more oriented towards real-time streaming data processing and does not inherently transform data into new formats. Batch is a service for batch computing workloads and does not focus on the ETL process. Redshift is primarily a data warehousing service capable of analyzing large datasets but is not a dedicated ETL service.
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What does ETL stand for, and why is it important in data processing?
How does AWS Glue handle data transformation and what types of transformations can it perform?
What are the key differences between AWS Glue and other data processing services like AWS Kinesis and Redshift?