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

By Rui Machado

Analytics Engineering with SQL and DBT: Building Meaningful Data Models at Scale Computer Science

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

Only 1 item left in stock
Description
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
    •
    Product details
    Binding:
    Paperback
    Edition:
    1
    Number of Pages:
    305
    Release Date:
    2024-01-16
    Publication Date:
    2024-01-16
    Publisher:
    O'Reilly Media
    Languages:
    Published: English, Original: English
    ISBN10:
    1098142381
    GPSR Manufacturer Reference:
    [email protected]
    Weight:
    1050 g
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    Very good
    Almost no signs of wear. Book pages have no markings, accessories are intact and all other media are in good condition.
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