🇪🇸 En este video, creado como recordatorio para mi mala memoria a largo plazo, explico de forma sencilla:

• ✅ Qué es un DataFrame
• ✅ Cómo se distribuye en particiones
• ✅ Cómo se ejecuta en un cluster (driver y workers)
• ✅ Qué ocurre en un shuffle
• ✅ Relación entre particiones, jobs, stages, shuffle y tasks
• ✅ Por qué es la pieza clave en Databricks y Apache Spark

🇬🇧 Do you know why the DataFrame is the most important data object in distributed processing?

In this video, created as a reminder for my poor long-term human memory, I explain in a simple way:

• ✅ What a DataFrame is
• ✅ How it's distributed across partitions
• ✅ How it runs in a cluster (drivers and workers)
• ✅ What happens during a shuffle
• ✅ How partitions, jobs, stages, shuffle and tasks are related
• ✅ Why it's the key component in Databricks and Apache Spark

Now, only in Spanish version, who knows later ...