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Fundamentals of Analytics Engineering

Fundamentals of Analytics Engineering: An introduction to building end-to-end analytics solutions

By Dumky De Wilde , Fanny Kassapian , Jovan Gligorevic , Juan Manuel Perafan , Lasse Benninga , Ricardo Angel Granados Lopez , Taís Laurindo Pereira
$35.99 $24.99
Book Mar 2024 332 pages 1st Edition
eBook
$35.99 $24.99
Print
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$15.99 Monthly
eBook
$35.99 $24.99
Print
$44.99
Subscription
$15.99 Monthly

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Product Details


Publication date : Mar 29, 2024
Length 332 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781837636457
Category :
Concepts :
toc View table of contents toc Preview Book toc Download Code

Key benefits

  • Discover how analytics engineering aligns with your organization's data strategy
  • Access insights shared by a team of seven industry experts
  • Tackle common analytics engineering problems faced by modern businesses
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Navigate the world of data analytics with Fundamentals of Analytics Engineering—guiding you from foundational concepts to advanced techniques of data ingestion and warehousing, data lakehouse, and data modeling. Written by a team of 7 industry experts, this book helps you to transform raw data into structured insights. You’ll discover how to clean, filter, aggregate, and reformat data, and seamlessly serve it across diverse platforms. With practical guidance, you’ll also learn how to build a simple data platform using Airbyte for ingestion, Google BigQuery for warehousing, dbt for transformations, and Tableau for visualization. From data quality and observability to fostering collaboration on codebases, you’ll find effective strategies for ensuring data integrity and driving collaborative success. As you advance, you'll become well-versed with the CI/CD principles for automated code building, testing, and deployment—laying the foundation for consistent and reliable pipelines. With invaluable insights into gathering business requirements, documenting complex business logic, and the importance of data governance, you’ll develop a holistic understanding of the analytics lifecycle. By the end of this book, you’ll be armed with the essential techniques and best practices for developing scalable analytics solutions from end to end.

What you will learn

Design and implement data pipelines from ingestion to serving data Explore best practices for data modeling and schema design Gain insights into the use of cloud-based analytics platforms and tools for scalable data processing Understand the principles of data governance and collaborative coding Comprehend data quality management in analytics engineering Gain practical skills in using analytics engineering tools to conquer real-world data challenges

What do you get with eBook?

Feature icon Instant access to your Digital eBook purchase
Feature icon Download this book in EPUB and PDF formats
Feature icon Access this title in our online reader with advanced features
Feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details


Publication date : Mar 29, 2024
Length 332 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781837636457
Category :
Concepts :

Table of Contents

23 Chapters
Preface Packt Packt
Prologue Packt Packt
Part 1:Introduction to Analytics Engineering Packt Packt
Chapter 1: What Is Analytics Engineering? Packt Packt
Chapter 2: The Modern Data Stack Packt Packt
Part 2: Building Data Pipelines Packt Packt
Chapter 3: Data Ingestion Packt Packt
Chapter 4: Data Warehousing Packt Packt
Chapter 5: Data Modeling Packt Packt
Chapter 6: Transforming Data Packt Packt
Chapter 7: Serving Data Packt Packt
Part 3: Hands-On Guide to Building a Data Platform Packt Packt
Chapter 8: Hands-On Analytics Engineering Packt Packt
Part 4: DataOps Packt Packt
Chapter 9: Data Quality and Observability Packt Packt
Chapter 10: Writing Code in a Team Packt Packt
Chapter 11: Automating Workflows Packt Packt
Part 5: Data Strategy Packt Packt
Chapter 12: Driving Business Adoption Packt Packt
Chapter 13: Data Governance Packt Packt
Chapter 14: Epilogue Packt Packt
Index Packt Packt
Other Books You May Enjoy Packt Packt

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