# Read, Don't Copy: Replacing File Feeds with OpenSharing - Part 2 (How to Implement)

> **Platform:** [SPIDITS AI](https://spidits.com/) — Real-Time AI News & Market Intelligence  
> **Published:** 2026-11-06T22:10:00.000Z  
> **Category:** PRODUCT_LAUNCH  
> **Impact Score:** 130/100  
> **Primary Source:** [Databricks](https://www.databricks.com/blog/read-dont-copy-replacing-file-and-api-feeds-opensharing-part-1-why)  
> **Canonical Citation:** [https://spidits.com/timeline/read-don-t-copy-replacing-file-feeds-with-opensharing-part-2-how-to](https://spidits.com/timeline/read-don-t-copy-replacing-file-feeds-with-opensharing-part-2-how-to)

## Executive Summary
Many data-sharing architectures begin with a familiar pattern: A provider exports.

## Why It Matters (Strategic Analysis)
In-place data sharing via open table formats shifts ingestion architecture from brittle extract pipelines to direct querying against source version logs. Eliminating physical data copies removes pipeline drift, reduces storage redundancy, and simplifies historical backfill operations across enterprise integrations.

## Referenced Coverage & Sources
- **[Databricks](https://www.databricks.com/blog/read-dont-copy-replacing-file-and-api-feeds-opensharing-part-1-why)**: Read, don't copy: replacing file and API feeds with OpenSharing - Part 1 (The Why) — _If you ingest data from your customers over SFTP or APIs, you have probably asked..._
- **[Databricks](https://www.databricks.com/blog/read-dont-copy-replacing-file-feeds-opensharing-part-2-how-implement)**: Read, don't copy: replacing file feeds with OpenSharing - Part 2 (How to Implement) — _Many data-sharing architectures begin with a familiar pattern: A provider exports..._

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