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Analytics Engineering with SQL and dbt: Building Meaningful Data Models at Scale
Rui Pedro Machado, Helder Russa¿Qué tanto le ha gustado este libro?
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With the shift from data warehouses to data lakes, data now lands in repositories before it's been transformed, enabling engineers to model raw data into clean, well-defined datasets. dbt (data build tool) helps you take data further. This practical book shows data analysts, data engineers, BI developers, and data scientists how to create a true self-service transformation platform through the use of dynamic SQL.
Authors Rui Machado from Monstarlab and Hélder Russa from Jumia show you how to quickly deliver new data products by focusing more on value delivery and less on architectural and engineering aspects. If you know your business well and have the technical skills to model raw data into clean, well-defined datasets, you'll learn how to design and deliver data models without any technical influence.
With this book, you'll learn:
What dbt is and how a dbt project is structured
How dbt fits into the data engineering and analytics worlds
How to collaborate on building data models
The main tools and architectures for building useful, functional data models
How to fit dbt into data warehousing and laking architecture
How to build tests for data transformations
Authors Rui Machado from Monstarlab and Hélder Russa from Jumia show you how to quickly deliver new data products by focusing more on value delivery and less on architectural and engineering aspects. If you know your business well and have the technical skills to model raw data into clean, well-defined datasets, you'll learn how to design and deliver data models without any technical influence.
With this book, you'll learn:
What dbt is and how a dbt project is structured
How dbt fits into the data engineering and analytics worlds
How to collaborate on building data models
The main tools and architectures for building useful, functional data models
How to fit dbt into data warehousing and laking architecture
How to build tests for data transformations
Categorías:
Año:
2024
Edición:
1st
Editorial:
O'Reilly Media
Idioma:
english
Páginas:
324
ISBN 10:
1098142381
ISBN 13:
9781098142384
Archivo:
PDF, 10.28 MB
Sus etiquetas:
IPFS:
CID , CID Blake2b
english, 2024
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