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    <title>BigQuery on tanaike - Google Apps Script, Gemini API, and Developer Tips</title>
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      <title>Unifying Google Workspace and Apache Iceberg: Serverless Lakehouse Management</title>
      <link>https://tanaikech.github.io/2026/09/06/unifying-google-workspace-and-apache-iceberg-serverless-lakehouse-management/</link>
      <pubDate>Sun, 06 Sep 2026 16:16:26 +0900</pubDate>
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      <description>&lt;p&gt;&lt;a href=&#34;https://gist.github.com/tanaikech/9b5b1f8c56cf26154487aacb70ca7c39&#34;&gt;Gists&lt;/a&gt;&lt;/p&gt;&#xA;&lt;p&gt;&lt;em&gt;Turn Google Sheets into a Petabyte Lakehouse with Sub-Second ACID Queries.&lt;/em&gt;&lt;/p&gt;&#xA;&lt;hr&gt;&#xA;&lt;h2 id=&#34;abstract&#34;&gt;Abstract&lt;/h2&gt;&#xA;&lt;p&gt;Google Sheets faces severe scalability bottlenecks when handling large enterprise datasets, including a strict 10-million cell limit, crippling CRUD latency, and Google Apps Script&amp;rsquo;s execution and memory boundaries. This article presents &lt;strong&gt;&lt;a href=&#34;https://github.com/tanaikech/IcebergApp&#34;&gt;IcebergApp&lt;/a&gt;&lt;/strong&gt;, an open-source library bridging Google Workspace to Apache Iceberg lakehouses on Google Cloud. By utilizing BigQuery as a serverless query accelerator to execute predicate pushdown over Iceberg metadata, IcebergApp eliminates spreadsheet latency, ensures ACID transactions, and enables sub-second queries, time travel, and agentic AI integration directly from Google Apps Script.&lt;/p&gt;</description>
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