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AWS and Snowflake Combine Glue, S3, Iceberg and Cortex for Modern Data Pipelines

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Organizations increasingly need scalable pipelines, governed access, open table formats, and AI-driven insights, and AWS and Snowflake can address these together without consolidating all data in one environment. The article describes a pattern where raw data is stored in Amazon S3, processed by AWS Glue, and loaded into Snowflake for SQL analytics and BI or AI applications. It highlights catalog federation, which lets AWS Glue access Snowflake Horizon Catalog metadata for Apache Iceberg tables, reducing metadata duplication and synchronization effort. The piece recommends secure, OAuth-based or secret-managed authentication over hardcoded credentials in production. It also notes an emerging integration of Amazon Quick with Snowflake Cortex AI via the Model Context Protocol to bring conversational analytics to business users.

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