<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd"><channel><title><![CDATA[Big Data Stream]]></title><description><![CDATA[Compelling engineering conversations with compelling engineers around the data space (OLAP, Kafka, etc.). Big Data Stream aims to be high-signal - we only share episodes we find interesting. <br/><br/><a href="https://bigdata.2minutestreaming.com?utm_medium=podcast">bigdata.2minutestreaming.com</a>]]></description><link>https://bigdata.2minutestreaming.com/podcast</link><generator>Substack</generator><lastBuildDate>Fri, 10 Apr 2026 02:02:13 GMT</lastBuildDate><atom:link href="https://api.substack.com/feed/podcast/2762947.rss" rel="self" type="application/rss+xml"/><author><![CDATA[Stanislav Kozlovski]]></author><copyright><![CDATA[Stanislav Kozlovski]]></copyright><language><![CDATA[en]]></language><webMaster><![CDATA[bigdatastream@substack.com]]></webMaster><itunes:new-feed-url>https://api.substack.com/feed/podcast/2762947.rss</itunes:new-feed-url><itunes:author>Stanislav Kozlovski</itunes:author><itunes:subtitle>A stream of all the highly-technical viral posts I do surrounding big data and tech.

Same high quality in a less distracting format. 👌</itunes:subtitle><itunes:type>episodic</itunes:type><itunes:owner><itunes:name>Stanislav Kozlovski</itunes:name><itunes:email>bigdatastream@substack.com</itunes:email></itunes:owner><itunes:explicit>No</itunes:explicit><itunes:category text="Technology"/><itunes:category text="Technology"/><itunes:image href="https://substackcdn.com/feed/podcast/2762947/5d14725f060407696ffff2598443bd8a.jpg"/><item><title><![CDATA[postgres can be your data lake (pg_lake)]]></title><description><![CDATA[<p>This is an in-depth engineering conversation around pg_lake - a new OSS Postgres extension that lets you query and manage Iceberg tables directly form Postgres.Marco Slot, who has EXTENSIVE experience, shares with us various engineering internals, like how pg_lake makes analytics (literally) 100x faster, why Postgres is architecturally terrible at analytical queries (and how vectorized execution fixes this), how (and why) pg_lake intercepts query plans and delegates parts of the query tree to DuckDB and tons more</p> <br/><br/>This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit <a href="https://bigdata.2minutestreaming.com?utm_medium=podcast&#38;utm_campaign=CTA_1">bigdata.2minutestreaming.com</a>]]></description><link>https://bigdata.2minutestreaming.com/p/postgres-can-be-your-data-lake-pg_lake</link><guid isPermaLink="false">substack:post:193668130</guid><dc:creator><![CDATA[Stanislav Kozlovski]]></dc:creator><pubDate>Thu, 09 Apr 2026 12:17:15 GMT</pubDate><enclosure url="https://api.substack.com/feed/podcast/193668130/ac19030a7b8283456d1b86d490ccf3e1.mp3" length="95533913" type="audio/mpeg"/><itunes:author>Stanislav Kozlovski</itunes:author><itunes:explicit>No</itunes:explicit><itunes:duration>5971</itunes:duration><itunes:image href="https://substackcdn.com/feed/podcast/2762947/post/193668130/5852f79f5e89753b30e3a00a15992aea.jpg"/></item></channel></rss>