Bulk Data Sharing Design

samber/developer-platform-skills/skills/bulk-data-sharing-design

作者 samber594cf70d343eMIT3 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫10 天前更新

Design bulk file and lake export as a B2B product surface - the two-camp choice between Parquet file-drops on object storage and native warehouse/lake sharing (Snowflake shares, Delta Sharing, linked datasets), the partitioning and schema-evolution contract across batches, delivery cadence and freshness commitments (full dump vs incremental vs CDC vs streaming), shared-bucket security with per-recipient credentials, egress cost allocation, and cross-border data residency. Use whenever the user mentions bulk export, data dumps to S3, Parquet, Snowflake shares, Delta Sharing, or export freshness SLAs - even if they never say "bulk data sharing". Do NOT use for live SQL endpoints - use samber/developer-platform-skills@sql-jdbc-access-design instead.

  1. 594cf70d343e目前提交 594cf70發布於 2026年10月8日

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授權條款: MIT

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