10 Essential Open Source Tools for Modern Data Engineering
In the age of big data, open-source tools have become the backbone of modern data engineering. They help build robust, scalable, and flexible data platforms—without the vendor lock-in or high costs of proprietary solutions. In this blog post, I’ll walk you through 10 powerful open-source tools that every data engineer should know and ideally have in their stack. 1. Apache Airflow 🛠️ Category: Workflow Orchestration Apache Airflow is the industry standard for orchestrating complex data workflows using DAGs (Directed Acyclic Graphs). It lets you schedule and monitor data pipelines, and has a vibrant ecosystem with providers for AWS, GCP, Spark, and more. ...