<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Duckdb on taude.xyz</title><link>http://taude.xyz/tags/duckdb/</link><description>Recent content in Duckdb on taude.xyz</description><generator>Hugo</generator><language>en-us</language><copyright>Todd</copyright><lastBuildDate>Wed, 01 Jan 2025 00:00:00 +0000</lastBuildDate><atom:link href="http://taude.xyz/tags/duckdb/index.xml" rel="self" type="application/rss+xml"/><item><title>DuckDB and Native CSV Tables</title><link>http://taude.xyz/til/duckdb-and-native-csv-tables/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>http://taude.xyz/til/duckdb-and-native-csv-tables/</guid><description>&lt;p&gt;Not new, but I&amp;rsquo;m light on content. I told my team about this trick the other day, and it&amp;rsquo;s one of my favorites: using duckdb to ingest various CSV exports from various sources and then using SQL to poke at that data.&lt;/p&gt;
&lt;p&gt;Details from the docs over at: &lt;a href="https://duckdb.org/docs/current/guides/file_formats/csv_import"&gt;DuckDB CSV Import&lt;/a&gt;&lt;/p&gt;
&lt;p&gt;But in short, I export various datasets from Snowflake pretty regularly, from different databases and datasets that aren&amp;rsquo;t naturally joined; I download various JSON reports from APIs and convert the Results to CSV. Then I bring them both into duckdb:&lt;/p&gt;</description></item></channel></rss>