{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/433c37289e3e44a6b374f5606b8eb394\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/433c37289e3e44a6b374f5606b8eb394-00001.gif","duration":257.06,"title":"Understanding and Simplifying Complex Data Flows in Magic ETLs","description":"In this video message, I discuss the challenges of understanding and working with complex data flows in a company's demo instance. I propose a feature called \"block tiles\" that would allow users to compartmentalize sections of logic within an ETL, making it easier to navigate and document. By creating a graphical container for related tiles, analysts can better understand and maintain their ETLs. I explain how block tiles would function and the benefits they would bring, such as simplifying existing ETLs and facilitating the onboarding of new analysts."}