The article says that "SQL is taking over Python to transform and analyze data in the modern data stack". Are other people starting to notice this at ELT becomes more populate than traditional ETL?
Haven't used Airflow before but use Azure Data Factory in my org to load the raw the data into the data warehouse and then transform into data models using SQL.
Haven't used Airflow before but use Azure Data Factory in my org to load the raw the data into the data warehouse and then transform into data models using SQL.