Which AWS service do you use for data querying and data processing?
💡 Model Answer
For ad‑hoc data querying, Amazon Athena is a serverless, query‑as‑you‑go service that runs SQL against data stored in S3. For large analytical workloads, Amazon Redshift or Redshift Spectrum can be used. For data processing, AWS Glue provides managed ETL jobs that can transform, clean, and catalog data. Glue jobs can run on Spark or Python, and they integrate with the Glue Data Catalog. For batch processing at scale, Amazon EMR can run Hadoop, Spark, or Hive jobs. For real‑time streaming, Kinesis Data Analytics or AWS Lambda can process data as it arrives. The choice depends on the volume, velocity, and required latency of the workload.
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