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# Scaling Zero Copy from 1 Trillion to 120 Trillion Rows with File Federation

**[Salesforce Engineering](https://daily.dev/sources/salesforceeng)** · 7 min read · 0 upvotes · 0 comments

## Summary

Salesforce's Data 360 team evolved their Zero Copy architecture from Query Federation to File Federation, scaling from under 1 trillion to 120 trillion rows processed monthly. The original Query Federation model routed queries through remote warehouse compute engines (Snowflake, Databricks, BigQuery, Redshift), creating throughput bottlenecks at petabyte scale. The breakthrough was adopting Apache Iceberg as a common storage abstraction, enabling a single-compute model where Data 360 operates directly against external storage rather than coordinating dual compute systems. This shift removed cross-platform query execution overhead while preserving data governance through catalog-layer temporary credentials. Operational challenges at this scale include coordinating across independently evolving Iceberg implementations, catalog services, and external platforms. The next frontier is enabling real-time AI reasoning across distributed enterprise data including agent memory, observability, and runtime context.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://engineering.salesforce.com/scaling-zero-copy-from-1-trillion-to-120-trillion-rows-with-file-federation>

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---

Tags: [#data-engineering](https://daily.dev/tags/data-engineering), [#distributed-systems](https://daily.dev/tags/distributed-systems), [#apache-iceberg](https://daily.dev/tags/apache-iceberg)

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