What Is Data Engineering? A Plain-English Guide
By Karthick Selvam · Published · Updated
Data engineering is the discipline of collecting, moving, transforming and storing data so analysts, applications and AI can use it reliably.
Definition
Data engineers build the systems that turn raw data from many sources into clean, trustworthy, well-modelled datasets.
What data engineers build
Ingestion jobs, transformation pipelines, data warehouses and lakehouses, orchestration, and the monitoring that keeps them healthy.
Core skills
SQL, Python, data modelling, a distributed engine such as Spark, one cloud platform, and an orchestrator such as Airflow.
Why companies invest in it
Every analytics or AI initiative depends on trustworthy data. Without solid engineering, dashboards disagree and models drift.
Frequently asked questions
Is data engineering the same as data science?
No. Data engineers build the data foundations; data scientists analyse and model the data.
Related programmes
- Data Engineering Foundations
- Apache Spark & PySpark for Data Engineers
- Databricks & Lakehouse Engineering
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