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- Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions
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![Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions](https://static01.helion.com.pl/global/okladki/326x466/e_3uvp.jpg)
Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions
Dumky De Wilde, Fanny Kassapian, Jovan Gligorevic, Juan Manuel Perafan, Lasse Benninga, Ricardo Angel Granados Lopez, Taís Laurindo Pereira, Pádraic Slattery
Ebook
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.
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.
- 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
- Title: Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions
- Author: Dumky De Wilde, Fanny Kassapian, Jovan Gligorevic, Juan Manuel Perafan, Lasse Benninga, Ricardo Angel Granados Lopez, Taís Laurindo Pereira, Pádraic Slattery
- Original title: Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions
- ISBN: 9781837632114, 9781837632114
- Date of issue: 2024-03-29
- Format: Ebook
- Item ID: e_3uvp
- Publisher: Packt Publishing