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AWS Data Analytics

AWS Data Analytics Plugin

사용 사례: Data & Research

제작자: Amazon Web Services

웹사이트: aws.amazon.com(새 창에서 열기)

작동 방식

Data lake, analytics, and ETL workflows with S3 Tables, AWS Glue, and Athena. Covers managed Iceberg tables on S3 Tables, ingestion from JDBC databases, Amazon Redshift, Snowflake, BigQuery, and DynamoDB, AWS Glue Data Catalog inventory and asset discovery, federated Athena queries, and vector storage and semantic search on Amazon S3 Vectors.

Find analytics data

Identify catalog tables that can support a business question and explain the available fields.

Analyze sales trends

Summarize monthly sales from Athena queries and identify the largest changes.

Plan data lake ingestion

Produce an ingestion plan for moving a source table into managed Iceberg storage.

샘플 프롬프트

리소스

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