Thomas Sandmann<p>This week, I learned how to create and explore a data lake with duckdb, using its new ducklake extension. It was surprisingly easy to hand over the creation and management of parquet files with larg(ish) tables to ducklake. I loved being able to explore the data using R, python or plain SQL - even within the same Quarto document! <a href="https://tomsing1.github.io/blog/posts/ducklake/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">tomsing1.github.io/blog/posts/</span><span class="invisible">ducklake/</span></a> <a href="https://genomic.social/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a> <a href="https://genomic.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://genomic.social/tags/duckdb" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>duckdb</span></a> <a href="https://genomic.social/tags/ducklake" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ducklake</span></a> <a href="https://genomic.social/tags/quarto" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>quarto</span></a></p>