{"product_id":"analytics-engineer-richard-boozman-9798180309761","title":"Analytics Engineer: dbt, SQL Modeling, and Modern Data Transformation for Business Intelligence Teams","description":"\u003cb\u003eBuild trusted, scalable, and maintainable analytics systems for modern data organizations\u003c\/b\u003e\u003cp\u003eRaw data is rarely useful on its own.\u003c\/p\u003e\u003cp\u003eBefore organizations can make decisions, data must be cleaned, modeled, transformed, documented, tested, and structured into reliable analytical systems.\u003c\/p\u003e\u003cp\u003eThat is the role of the modern analytics engineer.\u003c\/p\u003e\u003cp\u003e\"Analytics Engineer\" is a practical, engineering-focused guide to building production-grade analytics workflows using dbt, SQL modeling techniques, and modern data platform practices.\u003c\/p\u003e\u003cp\u003eThis book teaches data professionals how to transform fragmented raw data into trustworthy business intelligence systems that scale across teams and organizations.\u003c\/p\u003e\u003cbr\u003eWhy analytics engineering matters\u003cp\u003eModern data teams face challenges such as: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003einconsistent business metrics\u003c\/li\u003e\n\u003cli\u003eduplicated transformation logic\u003c\/li\u003e\n\u003cli\u003eunreliable dashboards and reporting\u003c\/li\u003e\n\u003cli\u003epoorly documented datasets\u003c\/li\u003e\n\u003cli\u003edifficult-to-maintain SQL pipelines\u003c\/li\u003e\n\u003cli\u003eweak governance and testing practices\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eAnalytics engineering bridges the gap between data engineering and business intelligence by bringing software engineering discipline into analytics workflows.\u003c\/p\u003e\u003cbr\u003eWhat you will learn\u003cul\u003e\n\u003cli\u003efundamentals of analytics engineering\u003c\/li\u003e\n\u003cli\u003emodern ELT and transformation workflows\u003c\/li\u003e\n\u003cli\u003ebuilding modular SQL models with dbt\u003c\/li\u003e\n\u003cli\u003edimensional modeling and warehouse design\u003c\/li\u003e\n\u003cli\u003etesting and validating analytical data\u003c\/li\u003e\n\u003cli\u003edocumentation and lineage tracking\u003c\/li\u003e\n\u003cli\u003ereusable business metrics and semantic layers\u003c\/li\u003e\n\u003cli\u003eversion control and collaborative analytics workflows\u003c\/li\u003e\n\u003cli\u003eorchestrating transformations in production\u003c\/li\u003e\n\u003cli\u003eoptimizing query performance and warehouse costs\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003eFrom raw warehouse tables to trusted metrics\u003cp\u003eThroughout the book, you will learn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003estructure maintainable transformation layers\u003c\/li\u003e\n\u003cli\u003estandardize business definitions across teams\u003c\/li\u003e\n\u003cli\u003eimprove reliability and trust in analytics systems\u003c\/li\u003e\n\u003cli\u003ebuild scalable SQL modeling workflows\u003c\/li\u003e\n\u003cli\u003ereduce technical debt in reporting pipelines\u003c\/li\u003e\n\u003cli\u003emanage analytics projects like production software\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eEach chapter focuses on practical workflows used in modern analytics and data platform teams.\u003c\/p\u003e\u003cbr\u003ePractical applications\u003cul\u003e\n\u003cli\u003ebusiness intelligence systems\u003c\/li\u003e\n\u003cli\u003eanalytics transformation pipelines\u003c\/li\u003e\n\u003cli\u003eKPI and reporting platforms\u003c\/li\u003e\n\u003cli\u003ecustomer and product analytics\u003c\/li\u003e\n\u003cli\u003efinance and operations reporting systems\u003c\/li\u003e\n\u003cli\u003eenterprise data warehouse workflows\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThese examples reflect real-world analytical engineering challenges.\u003c\/p\u003e\u003cbr\u003eWho this book is for\u003cul\u003e\n\u003cli\u003eanalytics engineers\u003c\/li\u003e\n\u003cli\u003edata analysts transitioning into engineering\u003c\/li\u003e\n\u003cli\u003edata engineers\u003c\/li\u003e\n\u003cli\u003eBI developers\u003c\/li\u003e\n\u003cli\u003eSQL developers\u003c\/li\u003e\n\u003cli\u003eteams building modern data platforms\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eIf you want to build analytics systems that are trusted, maintainable, and scalable, this book provides the roadmap.\u003c\/p\u003e\u003cp\u003eModel clearly.\u003cbr\u003eTransform reliably.\u003cbr\u003eEngineer analytics that teams can trust.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Richard Boozman\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9798180309761\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Independently Published\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 06\/12\/2026\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 294\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 0.79lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.00h x 6.00w x 0.73d","brand":"Richard Boozman","offers":[{"title":"Paperback","offer_id":49148580200703,"sku":"9798180309761","price":24.99,"currency_code":"USD","in_stock":true}],"url":"https:\/\/www.whiterainbookhouse.com\/products\/analytics-engineer-richard-boozman-9798180309761","provider":"WR Book House","version":"1.0","type":"link"}