Azure Databricks
Azure Databricks is another famous Data engineering tool that enables an open data lakehouse in Azure. It is optimized to store all the data on the simple open lakehouse and unify all the AI and analytics workloads. Therefore, it is a jointly developed data and AI service from Microsoft and Databricks for data science, engineering, analytics, and machine learning.
Key Features
- This tool is used to help the data engineers work and collaborate on real-time coding in notebooks that support SQL, Scala, R, and Python.
- It consists of a lot of tools for most used tasks such as Data scheduling, management, managing security, and so on.
- This tool also offers auto-scaling, auto-terminating options, collaborative workspaces, and so on.
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.