{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/629a6154b4e1e70012764c00/67c75bd4ece4993ac7e08697?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Disseminate x DuckDB Coming Soon...","thumbnail_width":200,"thumbnail_height":200,"thumbnail_url":"https://open-images.acast.com/shows/629a6154b4e1e70012764c00/1741214078642-00bb0693-dc8d-44d5-90f9-2ca85fb980c1.jpeg?height=200","description":"<p>Hey folks! </p><p><br></p><p>We have been collaborating with everyone's favourite in-process SQL OLAP database management system <em>DuckDB</em> to bring you a new podcast series - the <strong>DuckDB in Research</strong><em> </em>series!</p><p><br></p><p>At <em>Disseminate</em> our mission is to bridge the gap between research and industry by exploring research that has a real-world impact. DuckDB embodies this synergy—decades of research underpin its design, and now it’s making waves in the research community as a platform for others to build on and this is what the series will focus on! </p><p><br></p><p>Join us as we kick off the series with:</p><p>📌 <strong>Daniel ten Wolde</strong> – DuckPGQ, a graph workload extension for DuckDB supporting SQL/PGQ</p><p>📌 <strong>David Justen</strong> – POLAR: Adaptive, non-invasive join order selection </p><p>📌 <strong>Till Döhmen</strong> – DuckDQ: A Python library for data quality checks in ML pipelines</p><p>📌 <strong>Arjen de Vries</strong> – FAISS extension for vector similarity search in DuckDB</p><p>📌 <strong>Harry Gavriilidis</strong> – SheetReader: Efficient spreadsheet parsing</p><p><br></p><p>Whether you're a researcher, engineer, or just curious about the intersection of databases and innovation we are sure you will love this series. </p><p><br></p><p>Subscribe now and stay tuned for our first episode! 🚀</p>","author_name":"Jack Waudby"}