This Snowflake pattern explains micro-batch ingestion using Snowpipe to load data from cloud storage like S3, Azure, or GCP quickly without complex orchestration. Snowpipe detects new files via cloud messaging or REST, then ingests them asynchronously with options for simple transforms and metadata enrichment. It’s ideal when strict order isn’t needed and updates come as new files. Benefits include reduced tooling complexity, serverless scaling, ingestion isolation, and support for data lineage. The guide advises adding minimal transforms during ingestion and using staging areas for later processing.

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