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Analytics Engineering with SQL and Dbt : Building Meaningful Data Models at Scale by Helder Russa and Rui Pedro Machado (2024, Trade Paperback)

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About this product

Product Identifiers

PublisherO'reilly Media, Incorporated
ISBN-101098142381
ISBN-139781098142384
eBay Product ID (ePID)14060882410

Product Key Features

Number of Pages321 Pages
Publication NameAnalytics Engineering with Sql and Dbt : Building Meaningful Data Models at Scale
LanguageEnglish
SubjectProgramming Languages / Sql, Data Processing, Databases / Data Mining
Publication Year2024
TypeTextbook
AuthorHelder Russa, Rui Pedro Machado
Subject AreaComputers
FormatTrade Paperback

Dimensions

Item Height1.1 in
Item Weight19.3 Oz
Item Length9.2 in
Item Width7 in

Additional Product Features

SynopsisWith 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. The data build tool (dbt) helps you take data further. This practical book shows data analysts, data engineers, Bl developers, and data scientists how to create a true self-service transformation platform through the use of dynamic SQL. Authors Rui Machado from Fraudio 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. With this book, you'll learn: Essentials of data modeling techniques and their role in analytics engineering, Essentials of creating and maintaining databases with SQL, How SQL can be used to deliver data analytics insights and reports, The main tools and architectures for building useful, functional data models, What dbt is and how a dbt project is structured, How dbt fits into the data engineering and analytics worlds, How to build tests for data transformations, 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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Analytics Engineering with SQL and - Paperback, by Machado Rui Pedro; - Good
item 1 Analytics Engineering with SQL and - Paperback, by Machado Rui Pedro; - Good
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Analytics Engineering with SQL and Dbt: Building Meaningful Data Models at Scale
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Analytics Engineering with SQL and Dbt: Building Meaningful Data Models at Scale
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Analytics Engineering with SQL and Db..., Russa, Helder
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Analytics Engineering with SQL and Db..., Russa, Helder
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Analytics Engineering with SQL and Dbt: Building Meaningful Data Models at Scale
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Analytics Engineering with SQL and Dbt Rui Pedro Machado Paperback
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