Many data-sharing architectures begin with a familiar pattern:
Official announcementDatabricks Blog
Read, don't copy: replacing file feeds with OpenSharing - Part 2 (How to Implement)
From the official release
- A provider exports a file on a schedule.
- The file lands in a bucket or is transferred through an SFTP endpoint.
- The recipient detects the new file, loads it, deduplicates it, and tracks what has already been processed.
- Updates and deletes require additional conventions or reconciliation jobs.
Part 1 of this blog described why a shared table can be a better alternative to a recurring file or API feed. Now let's look at what the recipient actually does with that table.
This is a short excerpt. Read the full announcement on the official source.
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