March 2024
Beginner
332 pages
9h 46m
English
book
Fundamentals of Analytics Engineering
by Dumky De Wilde, Fanny Kassapian, Jovan Gligorevic, Juan Manuel Perafan, Lasse Benninga, Ricardo Angel Granados Lopez, Taís Laurindo Pereira
Overview
Master the art and science of analytics engineering with 'Fundamentals of Analytics Engineering.' This book takes you on a comprehensive journey from understanding foundational concepts to implementing end-to-end analytics solutions. You'll gain not just theoretical knowledge but practical expertise in building scalable, robust data platforms to meet organizational needs.
What this Book will help me do
- Design and implement effective data pipelines leveraging modern tools like Airbyte, BigQuery, and dbt.
- Adopt best practices for data modeling and schema design to enhance system performance and develop clearer data structures.
- Learn advanced techniques for ensuring data quality, governance, and observability in your data solutions.
- Master collaborative coding practices, including version control with Git and strategies for maintaining well-documented codebases.
- Automate and manage data workflows efficiently using CI/CD pipelines and workflow orchestrators.
Author(s)
Dumky De Wilde, alongside six co-authors-experienced professionals from various facets of the analytics field-delivers a cohesive exploration of analytics engineering. The authors blend their expertise in software development, data analysis, and engineering to offer actionable advice and insights. Their approachable ethos makes complex concepts understandable, promoting educational learning.
Who is it for?
This book is a perfect fit for data analysts and engineers curious about transitioning into analytics engineering. Aspiring professionals as well as seasoned analytics engineers looking to deepen their understanding of modern practices will find guidance. It's tailored for individuals aiming to boost their career trajectory in data engineering roles, addressing fundamental to advanced topics.
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