Data Engineering Fundamentals : A Step by Step Approach Paperback Book by Sandeep Kumar Pandey -

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Résumé :
Every company today runs on data - but who builds the systems that make data usable? Data engineers do. And this book is where you start. Data Engineering Fundamentals: A Step-by-Step Approach is a practical, beginner-friendly guide that takes you from zero to building real data pipelines. No fluff, no assumptions - just clear explanations, diagrams, and hands-on examples using industry-standard tools. What you'll learn: How data flows from source to insight - the complete data lifecycle. Building ETL pipelines using Azure Data Factory and Databricks. Data modeling and database design principles that scale. Data warehousing strategies for analytics-ready systems. Big data technologies and when to use them. Data quality frameworks and governance with Azure Purview. Security best practices - encryption, RBAC, and compliance. Whether you're a student exploring data careers, a software developer pivoting to data engineering, or an analyst who wants to understand what happens behind the dashboard, this book gives you the structured path to get there. Written by Sandeep Kumar Pandey, a data engineer and cloud architect with 18+ years of industry experience and author of the Amazon Bestseller Mastering Generative AI....

Sommaire:

Every company today runs on data - but who builds the systems that make data usable? Data engineers do. And this book is where you start.

Data Engineering Fundamentals: A Step-by-Step Approach is a practical, beginner-friendly guide that takes you from zero to building real data pipelines. No fluff, no assumptions - just clear explanations, diagrams, and hands-on examples using industry-standard tools.

What you'll learn:

How data flows from source to insight - the complete data lifecycle.

Building ETL pipelines using Azure Data Factory and Databricks.

Data modeling and database design principles that scale.

Data warehousing strategies for analytics-ready systems.

Big data technologies and when to use them.

Data quality frameworks and governance with Azure Purview.

Security best practices - encryption, RBAC, and compliance.

Whether you're a student exploring data careers, a software developer pivoting to data engineering, or an analyst who wants to understand what happens behind the dashboard, this book gives you the structured path to get there.

Written by Sandeep Kumar Pandey, a data engineer and cloud architect with 18+ years of industry experience and author of the Amazon Bestseller Mastering Generative AI.