Fundamentals of Analytics Engineering
Book •
Fundamentals of Analytics Engineering is a practical guide written to capture the core responsibilities and practices of analytics engineers.
The book organizes chapters around responsibilities like data ingestion, data modeling, collaboration, and applying software engineering practices to analytics work.
It aims to be evergreen by emphasizing functional concepts and approaches rather than tool-specific code, helping readers build robust, testable, and documented analytics pipelines.
Co-authored by Juan Manuel Perafán and colleagues, the book is intended for analysts, engineers, and data leaders looking to adopt modern analytics engineering practices.
It serves as both an introduction and a reference for designing reliable, business-aligned data models and workflows.
The book organizes chapters around responsibilities like data ingestion, data modeling, collaboration, and applying software engineering practices to analytics work.
It aims to be evergreen by emphasizing functional concepts and approaches rather than tool-specific code, helping readers build robust, testable, and documented analytics pipelines.
Co-authored by Juan Manuel Perafán and colleagues, the book is intended for analysts, engineers, and data leaders looking to adopt modern analytics engineering practices.
It serves as both an introduction and a reference for designing reliable, business-aligned data models and workflows.
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Mentioned by Juan Manuel Perafán as his co-authored, evergreen book covering analytics engineering responsibilities and best practices.
Foundations of Analytics Engineer Role: Skills, Scope, and Modern Practices - Juan Manuel Perafan
