System Design for Data Engineers: A Quick Guide to Scalable Data Pipelines, Real-Time Systems & Modern Architectures

By Abhishek Kumar

Learn Data Engineering System Design - Fast and Practically

If you're looking for a clear and concise way to understand how real-world data systems are built, this quick guide is for you.

This book cuts through the noise and focuses only on what matters-helping you understand the core concepts of data engineering system design in a simple and practical way.

What You Will Learn

Core fundamentals of system designOLTP vs OLAP, Batch vs StreamingData Lakes, Warehouses, and Lakehouse basicsData ingestion using Kafka, APIs, and CDCStorage and processing systems (S3, Spark, Flink)Workflow orchestration with AirflowData modeling fundamentalsReal-world system design case studies

Real-World Systems Covered

E-commerce Data PipelineReal-Time Analytics SystemLog Processing SystemRecommendation SystemFraud Detection Pipeline

Why This Quick Guide

Simple and easy-to-understandFocused on practical conceptsNo unnecessary theoryIdeal for beginners and interview preparationCovers modern data engineering stack

Who This Book is For

Beginners in Data EngineeringDevelopers transitioning to data rolesInterview preparationAnyone who wants a quick, clear understanding

Start Learning and Building Scalable Data Systems Today

This book is designed to help you quickly build a strong foundation and understand how modern data systems work-without spending months on scattered resources.

• Format: Paperback
• Language: English
• ISBN: B0GTZZ6WVH
• ISBN13: 9798253727775
• Release Date: March 2026
• Publisher: Independently Published
• Length: 130 Pages
• Weight: 0.40 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"