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      <title>Article: Shadow Table Strategy for Seamless Service Extractions and Data Migrations</title>
      <link>https://www.infoq.com/articles/shadow-table-strategy-data-migration/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=event+sourcing-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/shadow-table-strategy-data-migration/en/headerimage/Shadow-Table-Strategy-for-Seamless-Service-Extractions-and-Data+Migrations-header-1744019310168.jpg"/&gt;&lt;p&gt;The shadow table strategy creates a synchronized duplicate of the data that keeps the production system fully operational during changes, enabling zero-downtime migrations. The approach supports diverse scenarios - including database migrations, microservices extractions, and incremental schema refactoring - that update live systems safely and progressively.&lt;/p&gt; &lt;i&gt;By Apoorv Mittal&lt;/i&gt;</description>
      <category>Change Data Capture</category>
      <category>Database</category>
      <category>event sourcing</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Wed, 09 Apr 2025 09:00:00 GMT</pubDate>
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      <dc:creator>Apoorv Mittal</dc:creator>
      <dc:date>2025-04-09T09:00:00Z</dc:date>
      <dc:identifier>/articles/shadow-table-strategy-data-migration/en</dc:identifier>
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