Data engineering refers to the building of systems to enable the collection and usage of data. This data is usually used to enable subsequent analysis and data science; which often involves machine learning.

Data engineering can help businesses to improve their efficiency by automating data-related tasks. This will free up time for employees to focus on more important tasks. Additionally, data engineering can help businesses to improve their decision-making by providing better data analysis.

In simple terms, data engineering is the process of building useful systems that helps collect and store data from various sources. This can include anything from fixing errors in a database to making it look presentable. It is essentially the backbone of holistic business process management.

Data engineers are responsible for the design, development, and maintenance of the data platform, which includes the data infrastructure, data processing applications, data storage, and data pipelines.

Modern businesses have the capability to collect massive amounts of data. From customer analytics to traffic monitoring, everything leverages data in qualitative and quantitative form. 

Therefore, to sort and analyze this amount of data, businesses demand data infrastructure and trained personnel! 

This is where the revolutionary technology of data engineering comes into action!