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

Dumky De Wilde; Fanny Kassapian; Jovan Gligorevic; Juan Manuel Perafan; Lasse Benninga; Ricardo Angel Granados Lopez; Taís Laurindo Pereira

Softcover

ISBN 10: 1837636451 ISBN 13: 9781837636457

Verlag: Packt Publishing, 2024

Inhaltsangabe

Gain a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering

Key Features

• 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

Book Description

Written by a team of 7 industry experts, Fundamentals of Analytics Engineering will introduce you to everything from foundational concepts to advanced skills to get started as an analytics engineer.

After conquering data ingestion and techniques for data quality and scalability, you’ll learn about techniques such as data cleaning transformation, data modeling, SQL query optimization and reuse, and serving data across different platforms. Armed with this knowledge, you will implement a simple data platform from ingestion to visualization, using tools like Airbyte Cloud, Google BigQuery, dbt, and Tableau. You’ll also get to grips with strategies for data integrity with a focus on data quality and observability, along with collaborative coding practices like version control with Git. You’ll learn about advanced principles like CI/CD, automating workflows, gathering, scoping, and documenting business requirements, as well as data governance.

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
• Scale data processing with cloud based analytics platforms and tools
• Understand the principles of data quality management and data governance
• Streamline code base with best practices like collaborative coding, version control, reviews and standards
• Automate and orchestrate data pipelines
• Drive business adoption with effective scoping and prioritization of analytics use cases

Who this book is for

This book is for data engineers and data analysts considering pivoting their careers into analytics engineering. Analytics engineers who want to upskill and search for gaps in their knowledge will also find this book helpful, as will other data professionals who want to understand the value of analytics engineering in their organization's journey toward data maturity. To get the most out of this book, you should have a basic understanding of data analysis and engineering concepts such as data cleaning, visualization, ETL and data warehousing.

Table of Contents

1. What is Analytics Engineering?
2. The Modern Data Stack
3. Data Ingestion
4. Data Warehouses
5. Data Modeling
6. Data Transformation
7. Serving Data
8. Hands-on: Building a Data Platform
9. Data Quality & Observability
10. Writing Code in a Team
11. Writing Robust Pipelines
12. Gathering Business Requirements
13. Documenting Business Logic
14. Data Governance

Über diesen Titel

Über die Autorinnen und Autoren

Dumky is an award-winning analytics engineer with close to 10 years of experience in setting up data pipelines, data models and cloud infrastructure. Dumky has worked with a multitude of clients from government to fintech and retail. His background is in marketing analytics and web tracking implementations, but he has since branched out to include other areas and deliver value from data and analytics across the entire organization.

Fanny has a multidisciplinary background across various industries, giving her a unique perspective on analytics workflows, from engineering pipelines to driving value for the business. As a consultant, Fanny helps companies translate opportunities and business needs into technical solutions, implement analytics engineering best practices to streamline their pipelines, and treat data as a product. She is an avid promoter of data democratization, through technology and literacy

Jovan, an Analytics Engineer, specializes in data modeling and building analytical dashboards. Passionate about delivering end-to-end analytics solutions and enabling self-service analytics, he has a background in business and data science. With skills ranging from machine learning to dashboarding, Jovan has democratized data across diverse industries. Proficient in various tools and programming languages, he has extensive experience with the modern data stack. Jovan enjoys providing trainings in dbt and Power BI, sharing his knowledge generously

Details zur Ausgabe

• Verlag: Packt Publishing
• Erscheinungsdatum: 2024
• Sprache: Englisch
• ISBN 10: 1837636451
• ISBN 13: 9781837636457
• Einband: Tapa blanda
• Auflage: 1
• Anzahl der Seiten: 332
• Kontakt zum Hersteller: Nicht verfügbar