<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SQL on Fred</title><link>https://site.fredlab.dev/tags/sql/</link><description>Recent content in SQL on Fred</description><generator>Hugo</generator><language>en</language><copyright>Copyright (c) 2020-2024 Thulite</copyright><lastBuildDate>Thu, 16 Apr 2026 12:00:00 +0200</lastBuildDate><atom:link href="https://site.fredlab.dev/tags/sql/index.xml" rel="self" type="application/rss+xml"/><item><title>Tabular Data in Fred: ReBAC-Scoped Parquet, S3, and DuckDB</title><link>https://site.fredlab.dev/blog/tabular-data-in-fred-rebac-scoped-parquet-s3-and-duckdb/</link><pubDate>Thu, 16 Apr 2026 12:00:00 +0200</pubDate><guid>https://site.fredlab.dev/blog/tabular-data-in-fred-rebac-scoped-parquet-s3-and-duckdb/</guid><description>Fred now treats tabular data like the rest of the corpus: document-scoped, team-aware, and authorization-first. This post explains why the old SQL-store model was limiting, how the new Parquet plus DuckDB runtime works, and what this changes for security, performance, and operations.</description></item><item><title>From SQL to Agent: Smart Database Access in Fred</title><link>https://site.fredlab.dev/blog/from-sql-to-agent-smart-database-access-in-fred/</link><pubDate>Wed, 20 Aug 2025 10:00:00 +0200</pubDate><guid>https://site.fredlab.dev/blog/from-sql-to-agent-smart-database-access-in-fred/</guid><description>What started with CSV ingestion has grown into full SQL integration. With Fred’s new SQLTableStore, you can query, update, and enrich your databases naturally through agents like Tessa.</description></item></channel></rss>