Tutorials

What is Apache Kafka? Learn how it works, why it’s used in modern data engineering, and whether you need it, with clear metaphors and beginner-friendly guidance.

Learn how Terraform actually works behind the scenes, including DAG-based execution, state files, root modules, and project structure. A technical deep dive for DevOps engineers.

Learn what Terraform is, how to use it with AWS, and how to build scalable infrastructure as code. A beginner-friendly, guide to Terraform in 2025.

A developer-first guide to understanding Docker, containers, and why you should (or shouldn’t) use it. Clear metaphors, practical use cases, and no fluff.

Learn what dbt (data build tool) is, how it helps data teams transform data using SQL, and whether you actually need to use it in your stack.

Learn how to build a real-time data pipeline using Apache Kafka. Includes Docker setup, Python producer/consumer code, and architecture explained step-by-step.

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.

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

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

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.