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

by Abhishek Kumar
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Current price ₹1,681.00
Original price ₹1,945.00
Original price ₹1,945.00
Original price ₹1,945.00
(-14%)
₹1,681.00
Current price ₹1,681.00

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Book cover type: Paperback
  • ISBN13: 9798253727775
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 130
  • Original Price: GBP 14.96
  • Language: English
  • Edition: N/A
  • Item Weight: 182 grams
  • BISAC Subject(s): Database Administration & Management

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.


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