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 Helder 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 structuredHow DBT fits into the data engineering and analytics worldsHow to collaborate on building data modelsThe main tools and architectures for building useful, functional data modelsHow to fit DBT into data warehousing and laking architectureHow to build tests for data transformations
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Specifications
Book Details
Title
Analytics Engineering with SQL and Dbt
Imprint
O'Reilly Media
Product Form
Paperback
Publisher
O'Reilly Media
Genre
Computers
ISBN13
9781098142384
Book Category
Higher Education and Professional Books
BISAC Subject Heading
COM051170
Book Subcategory
Computing and Information Technology Books
Language
English
Dimensions
Height
233 mm
Length
178 mm
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