<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/2afe43660dbc4ab9b633cd5fd5d81a1c&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/2afe43660dbc4ab9b633cd5fd5d81a1c-1687360622534.gif</thumbnail_url><duration>249.149</duration><title>Creating a DLT Pipeline with Continue 🚀</title><description>Hey there! In this Loom, I&apos;m going to show you how to create a data pipeline using Continue that can load data from chest.com API into a DougDB database. I&apos;ll be creating an environment, a DLT project, and a script that will contain all the necessary API calls to pull data from the chest.com API. You&apos;ll see how Continue automatically writes and fixes the code, and how I can specify the user and time period to load all the games for Magnus Carlsen between November and December 2022. I&apos;ll also show you how to update the data using the command line. Enjoy!</description></oembed>