Apache Airflow
Apache Airflow is used for managing, scheduling, and developing the data pipelines more easily by the data engineers. It also allows smooth orchestration of data pipelines and therefore this is the reason why it is one of the best tools for data engineering workflows.
Key Features
- Apache airflows allow the users to establish a granular workflow and also to monitor the progress.
- By using Apache Airflows users can easily upgrade airflow by utilizing plugins to add additional menu items to the user interface.
- It also offers a large range of connectors to external systems.
10 Best Data Engineering Tools in 2024
Data engineering is the foundation of contemporary data science and it makes possible the transformation of raw data into useful insights that drive business intelligence and innovation.
In today’s world, which is full of data, businesses are lying under an avalanche of information. But what distinguishes successful firms from the remaining ones? The capability of their Data Engineers to use data engineering tools effectively.
In this article, we will outline some 10 best tools for data engineering in 2024 that are free to help you make informed choices about your data infrastructure. This guide helps you identify which tools are most appropriate for your particular needs, whether you’re an experienced engineer or just starting out on this journey.