Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Analytics Engineering with SQL and Dbt: Building Meaningful Data Models at Scale

Analytics Engineering with SQL and Dbt: Building Meaningful Data Models at Scale

Machado, Rui
Russa, Hélder

Paperback

DatabasesGeneral ComputersProgramming

Publisher Price: $65.99

ISBN10: 1098142381
ISBN13: 9781098142384
Publisher: O'Reilly Media
Published: Jan 16 2024
Pages: 321
Weight: 1.14
Height: 0.68 Width: 7.00 Depth: 9.19
Language: English

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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