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
Також купити книгу Analytics Engineering with SQL and dbt: Building Meaningful
Data Models at Scale, Rui Pedro Machado, Helder Russa Ви можете по посиланню