Debo Data Studio

What it does

Stop juggling Spark, Hive, and Python scripts. Design pipelines visually – run them as raw PostgreSQL. The pain we solve ETL tools usually generate Java, Python, or Spark code – which means you need separate clusters, complex dependencies, and a whole ops team just to move a few CSV files into a database. What if your entire pipeline was just one INSERT.. SELECT?

Contribute to Debo-et/Debo_data_studio development by creating an account on GitHub.

This project is a React + TypeScript application that lets you design data integration pipelines through a graphical node‑based canvas , inspired by the workflow of Talend Open Studio . However, instead of generating Java code, our system dynamically produces SQL statements – specifically INSERT ... SELECT queries – that move and transform data directly inside PostgreSQL , using Foreign Data Wrappers (FDW) and foreign tables . The result is a lightweight, database‑centric ETL tool that leverages PostgreSQL’s mature query engine and eliminates the need for intermediate application‑layer processing. This guide helps you build and run the application as a web‑based tool (browser only). The…from github.com

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