As companies move to Spark and a Lakehouse architecture, they are realizing that the data tools are lagging way behind.  You need to be a programmer to effectively use Spark and Airflow. There are some low-code ETL tools, but is that enough?  Companies want to treat their data pipelines like mission-critical apps.  They want DevOps

As companies move to Spark and a Lakehouse architecture, they are realizing that the data tools are lagging way behind. You need to be a programmer to effectively use Spark and Airflow. There are some low-code ETL tools, but is that enough? Companies want to treat their data pipelines like mission-critical apps. They want DevOps

As companies move to Spark and a Lakehouse architecture, they are realizing that the data tools are lagging way behind.&nbsp; You need to be a programmer to effectively use Spark and Airflow. There are some low-code ETL tools, but is that enough?&nbsp; Companies want to treat their data pipelines like mission-critical apps.&nbsp; They want DevOps

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