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portada Analytics Engineering With sql and Dbt: Building Meaningful Data Models at Scale
Type
Physical Book
Publisher
Author
Language
English
Pages
321
Format
Paperback
ISBN13
9781098142384
Edition No.
1

Analytics Engineering With sql and Dbt: Building Meaningful Data Models at Scale

Machado Rui,Russa Helder (Author) · O'reilly Media · Paperback

Analytics Engineering With sql and Dbt: Building Meaningful Data Models at Scale - Machado Rui,Russa Helder

New Book Imported to Taiwan
Delivery: 08 Sep - 15 Sep Shipping: 2 to 2 business days.
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NT$ 1,980

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Synopsis "Analytics Engineering With sql and Dbt: Building Meaningful Data Models at Scale "

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

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