Show HN: Arc, an open-source Databricks alternative
After being frustrated with building 'traditional' ETL (Extract-Transform-Load) pipelines - and around the same time as the famous 'Engineers Shouldn’t Write ETL' blog post - we started building a framework/toolkit to allow Technical Business Analysts to be able to build reliable data pipelines without much developer support: Arc. This has been implemented as a Jupyter Notebooks extension.Arc is declarative and currently targets the Apache Spark execution engine but the abstracted API allows replacing execution engines without having to rewrite the logic or intent of the pipeline in future. It supports parameterized notebooks to build complex pipelines which can be executed in CICD environments for safe deployment.We would be interested to hear your feedback.