Introduction to Data Engineering: A Beginner's Guide to Data Pipelines and Big Data Tools

By Booker Blunt

Step into the fast-growing world of data engineering and unlock the skills that power modern data-driven companies

Introduction to Data Engineering is the perfect beginner's guide to mastering data pipelines and big data tools. Designed for newcomers and aspiring data engineers, this book walks you through the fundamentals of collecting, processing, and managing massive data flows with clarity and hands-on examples.

Inside this book, you will learn how to:

Understand core concepts of data engineering and its role in the data ecosystem.

Build and maintain efficient data pipelines that handle real-world big data challenges.

Work with popular big data tools like Apache Spark, Hadoop, Kafka, and more.

Implement data ingestion, transformation, and storage strategies.

Design scalable systems for data processing in cloud and on-premise environments.

Prepare for real-world projects with practical exercises and expert tips.

Whether you're a student, analyst, or software developer, this beginner-friendly guide will equip you with the foundational knowledge and hands-on skills to launch a successful career in data engineering.

Start your journey today and become the driving force behind data innovation

• Format: Paperback
• Language: English
• ISBN: B0FB3WVPT9
• ISBN13: 9798285553694
• Release Date: May 2025
• Publisher: Independently Published
• Length: 222 Pages
• Weight: 0.67 lbs.
• Dimensions: 0.5" x 6.0" x 9.0"