AWS Data Analytics
AWS Data Analytics Plugin
Caso de uso: Data & Research
Hecho por: Amazon Web Services
Sitio web: aws.amazon.com(se abre en una ventana nueva)
Cómo funciona
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.
Ejemplos de prompts
Recursos
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