Introduction to Data Engineering

IBM introduces the work of a data engineer and distinguishes it from nearby data roles. The ecosystem and lifecycle provide a framework for understanding where ingestion, storage and processing fit. It is a broad starting point before choosing a particular cloud platform or pipeline technology.

What you will learn

• Distinguish data-engineering roles and responsibilities.
• Describe the data-engineering ecosystem.
• Map stages of a data lifecycle.

Who this suits

Beginners; the provider states that no previous experience is required.

Before you enroll

Check the software versions, cloud-account requirements and lab access terms before enrolling. Running cloud resources can incur separate charges. Use fictional or public sample data, and evaluate reliability, permissions and data quality alongside whether a pipeline runs.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Map the lifecycle of a fictional dataset from collection to use and explain which responsibilities belong to the data engineer.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

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