Core Concepts

Crucial ideas every data engineer should master. From idempotency and scalability to ETL design patterns.

Illustration of a spiral stair case, a metaphor for idempotency in data pipelines

28 June 2025

Understanding Idempotency in Data Engineering: A 2025 Guide

Learn what idempotency means in data engineering, why it matters for reliable pipelines, and how to implement it using real-world examples and modern tools.

Data Engineering Tutorials Core Concepts

Illustration of scalable data pipelines and cloud architecture in 2025

27 June 2025

How to Design Scalable Data Engineering Pipelines in 2025

Learn how to design scalable data engineering pipelines in 2025 with modern tools, architectural patterns, and real-time best practices for reliability and growth.

Data Engineering Tutorials Core Concepts

ETL vs ELT data pipeline flowchart showing extract, load, and transform steps

22 June 2025

ETL vs ELT: A Beginner Data Engineer's Guide to the Modern Data Stack

Learn the key differences between ETL and ELT, when to use each, and which tools are best for cloud-native data pipelines.

Data Engineering Tutorials Core Concepts

A visual explanation of the ETL pipeline process

19 June 2025

What is ETL? A Beginner’s Guide with Python Examples

Learn what ETL means, why it's essential in data engineering, and how to build a simple ETL pipeline in Python using real-world data.

Data Engineering Tutorials Core Concepts

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