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      <title>Article: Lakehouse Tower of Babel: Handling Identifier Resolution Rules across Database Engines</title>
      <link>https://www.infoq.com/articles/lakehouse-sql-identifier-rules/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Database-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/lakehouse-sql-identifier-rules/en/headerimage/lakehouse-sql-identifier-rules-header-1776241856705.jpg"/&gt;&lt;p&gt;Lakehouse architectures enable multiple engines to operate on shared data using open table formats such as Apache Iceberg. However, differences in SQL identifier resolution and catalog naming rules create interoperability failures. This article examines these behaviors and explains why enforcing consistent naming conventions and cross-engine validation is critical.&lt;/p&gt; &lt;i&gt;By Maninder Parmar&lt;/i&gt;</description>
      <category>Database</category>
      <category>Apache Iceberg</category>
      <category>Data Lake</category>
      <category>SQL</category>
      <category>Data Portability</category>
      <category>Data Catalog</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Fri, 17 Apr 2026 09:00:00 GMT</pubDate>
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      <dc:creator>Maninder Parmar</dc:creator>
      <dc:date>2026-04-17T09:00:00Z</dc:date>
      <dc:identifier>/articles/lakehouse-sql-identifier-rules/en</dc:identifier>
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