Description
With the shift from data warehouses to data lakes, data now lands in repositories before its 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 Hder 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, youll learn how to design and deliver data models without any technical influence.
With this book, youll 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
Author: Rui Pedro Machado, Helder Russa
Binding Type: Paperback
Publisher: OReilly Media
Published: 01/16/2024
Pages: 321
Weight: 1.14lbs
Size: 9.19h x 7.00w x 0.68d
ISBN: 9781098142384
Language: English
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