Hello Friends,

We have an application which extracts dat from various tables in Azure Databricks and we extract it to postgres tables (postgres installed on top of Azure VMs). After extraction we apply transformation on those datasets in postgres tables with the help of spark programs written on Jupiter notebook and load the data to Neo4j graph database (Neo4j installed on Another Azure VM). For now we are doing the extraction through SQL queries and for transformation on Postgres we are leveraging Python(Spark) Programs. As the there are lot of tables (More than 100) and there is dependency , It is not possible to run everything manually. Hence we are looking for a Orchestrator and Scheduler where we can create our job execution workflow and schedule them to run at a particular time frame. Can you please suggest one ? Appreciate in advance. I am attaching the Architecture of the application here in this post.