Data Pipelines Reference (Data for Analytics)

Data pipelines are the foundation of successful analytics, enabling organizations to move, process, and transform data from diverse sources. This book highlights key pipeline concepts, modern data stack components, ingestion methods, transformation patterns, orchestration workflows, and essential best practices for reliable, scalable data operations.

This book is a practical guide that explains how to design, build, and operate data pipelines effectively. It teaches essential decision points, tools, and workflows, helping teams deliver clean, validated, and production-ready data for analytics and machine learning.

Ideal for data engineers, analysts, BI developers, and technical leaders who want to understand pipelines, modern data stacks, and scalable analytics systems.