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"item_title" : "System Design for Data Engineers",
"item_author" : [" Abhishek Kumar "],
"item_description" : "Learn Data Engineering System Design - Fast and PracticallyIf 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 LearnCore 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 studiesReal-World Systems CoveredE-commerce Data PipelineReal-Time Analytics SystemLog Processing SystemRecommendation SystemFraud Detection PipelineWhy This Quick GuideSimple and easy-to-understandFocused on practical conceptsNo unnecessary theoryIdeal for beginners and interview preparationCovers modern data engineering stackWho This Book is ForBeginners in Data EngineeringDevelopers transitioning to data rolesInterview preparationAnyone who wants a quick, clear understandingStart Learning and Building Scalable Data Systems TodayThis book is designed to help you quickly build a strong foundation and understand how modern data systems work-without spending months on scattered resources.",
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System Design for Data Engineers : A Quick Guide to Scalable Data Pipelines, Real-Time Systems & Modern Architectures
Overview
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 design
- OLTP vs OLAP, Batch vs Streaming
- Data Lakes, Warehouses, and Lakehouse basics
- Data ingestion using Kafka, APIs, and CDC
- Storage and processing systems (S3, Spark, Flink)
- Workflow orchestration with Airflow
- Data modeling fundamentals
- Real-world system design case studies
Real-World Systems Covered
- E-commerce Data Pipeline
- Real-Time Analytics System
- Log Processing System
- Recommendation System
- Fraud Detection Pipeline
Why This Quick Guide
- Simple and easy-to-understand
- Focused on practical concepts
- No unnecessary theory
- Ideal for beginners and interview preparation
- Covers modern data engineering stack
Who This Book is For
- Beginners in Data Engineering
- Developers transitioning to data roles
- Interview preparation
- Anyone 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.
This item is Non-Returnable
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Details
- ISBN-13: 9798253727775
- ISBN-10: 9798253727775
- Publisher: Independently Published
- Publish Date: March 2026
- Dimensions: 9 x 6 x 0.28 inches
- Shipping Weight: 0.4 pounds
- Page Count: 130
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