dbt vs Delta Live Tables

<h1>I. Introduction</h1> With the modern cloud era, ELT has slowly replaced ETL as the standard way of doing data processing. Storage has become cheaper and cloud APIs (e.g., AWS S3, Azure Blob Storage) have made it easier to pull in and store all kinds of data — batch, streaming, structured, unstructured, and everything in between. <img alt="" src="https://miro.medium.com/v2/resize:fit:756/1*k9uySHG4MIwjRc7QWHb1hQ.png" style="height:486px; width:687px" /> Image courtesy: Qlik The order of the three letters might have changed but their operations haven’t. There are plenty of tools available today to perform the “E” and “L”, from the well established likes of Airflow to new challengers like Prefect and Dagster. We also have cloud-native ELT orchestration services like AWS Glue, Azure DataFactory, and Google Cloud Data Fusion. <a href="https://medium.com/@rahulxsharma/dbt-vs-delta-live-tables-ef629b627e0">Read More</a>