AWS suggests keeping Amazon Connect data lake data beyond the window by running a scheduled query that writes each table to the customer's own S3 bucket, for example with CTAS or UNLOAD, and then applying S3 Lifecycle rules.

Checked 2026-10-02

Vendor
Amazon Web Services
Product
Amazon Connect
Subsystem
analytics data lake
Deployment
multi-tenant
Region
not restricted
Release range
current as of 2026-10-02
Checked
2026-10-02

Sources

Cite this note

APA

WarmTransfer. (2026, October 2). Exporting contact center data to a data warehouse: source note ccaas-data-export-warehousing-aws-datalake-export-ctas-unload. WarmTransfer. https://warmtransfer.net/knowledge/claims/ccaas-data-export-warehousing-aws-datalake-export-ctas-unload

BibTeX

@misc{warmtransfer-claim-ccaas-data-export-warehousing-aws-datalake-export-ctas-unload,
  title  = {Exporting contact center data to a data warehouse: source note ccaas-data-export-warehousing-aws-datalake-export-ctas-unload},
  author = {{WarmTransfer}},
  year   = {2026},
  url    = {https://warmtransfer.net/knowledge/claims/ccaas-data-export-warehousing-aws-datalake-export-ctas-unload},
  note   = {Source note ccaas-data-export-warehousing-aws-datalake-export-ctas-unload, checked 2026-10-02}
}

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