How Linux is Used in Real-World Data Engineering

What is Data Engineering? Data engineering refers to the transformation of data and preparing it for analysis or use by data analyst and data scientist. This is what ensures the infrastructure and the data to be used is in the right form. They convert vast amounts of raw data into usable data sets. Why Linux is Used In Data Engineering? Most Cloud infrastructures such as AWS, Azure and GCP run on Linux. They use Linux for their virtual machines and data services. Tools such as Kafka, Hadoop, Spark and Apache are more suited by its open source ecosystem. Linux offers performance and stability for running large data pipelines without needing reboots. Automation and Scripting Linux offers the command line CLI and tools such as CRON which enable automation of data tasks and Extract Transform and Load (ETL) pipelines. Linux Basics for Data Engineering There are a few Linux basics that data engineers should be aware of. 1. The File System Structure The Linux file system takes the structure o