{"product_id":"analytics-engineering-with-sql-and-dbt","title":"Analytics Engineering with SQL and dbt: Building Meaningful Data Models at Scale by Rui Machado and Helder Russa","description":"\u003ch2 data-path-to-node=\"6\"\u003e\u003cspan class=\"\"\u003eAnalytics Engineering with SQL and dbt: Building Meaningful Data Models at Scale by Rui Machado and Helder Russa\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp data-path-to-node=\"6\"\u003e\u003cspan class=\"\"\u003eThe core thesis of \u003c\/span\u003e\u003ci data-path-to-node=\"6\" data-index-in-node=\"19\" class=\"\"\u003eAnalytics Engineering with SQL and dbt\u003c\/i\u003e\u003cspan class=\"\"\u003e is that data is a product,\u003c\/span\u003e\u003cspan class=\"\"\u003e and it should be built,\u003c\/span\u003e\u003cspan class=\"\"\u003e tested,\u003c\/span\u003e\u003cspan class=\"\"\u003e and maintained with the exact same rigor as customer-facing software.\u003c\/span\u003e\u003cspan class=\"\"\u003e In many modern organizations,\u003c\/span\u003e\u003cspan class=\"\"\u003e data pipelines are notoriously unstable—often consisting of thousand-line,\u003c\/span\u003e\u003cspan class=\"\"\u003e nested SQL queries that nobody understands,\u003c\/span\u003e\u003cspan class=\"\"\u003e leading to conflicting metrics on executive dashboards.\u003c\/span\u003e\u003cspan class=\"\"\u003e The authors introduce \u003c\/span\u003e\u003cb data-path-to-node=\"6\" data-index-in-node=\"414\" class=\"\"\u003eanalytics engineering\u003c\/b\u003e\u003cspan class=\"\"\u003e as the critical missing link that bridges the gap between raw data infrastructure and clean,\u003c\/span\u003e\u003cspan class=\"\"\u003e business-ready analysis.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-path-to-node=\"7\"\u003e\u003cspan class=\"\"\u003eRather than discussing abstract database theories,\u003c\/span\u003e\u003cspan class=\"\"\u003e Machado and Russa walk readers through the end-to-end architecture of a scalable data platform.\u003c\/span\u003e\u003cspan class=\"\"\u003e They demonstrate how to take raw,\u003c\/span\u003e\u003cspan class=\"\"\u003e messy data from cloud warehouses like Snowflake,\u003c\/span\u003e\u003cspan class=\"\"\u003e BigQuery,\u003c\/span\u003e\u003cspan class=\"\"\u003e or Databricks and systematically transform it into highly optimized,\u003c\/span\u003e\u003cspan class=\"\"\u003e documented,\u003c\/span\u003e\u003cspan class=\"\"\u003e and fully tested data models.\u003c\/span\u003e\u003cspan class=\"\"\u003e Using dbt as the orchestrator,\u003c\/span\u003e\u003cspan class=\"\"\u003e the book details how to write modular SQL code,\u003c\/span\u003e\u003cspan class=\"\"\u003e manage complex table dependencies (data lineage),\u003c\/span\u003e\u003cspan class=\"\"\u003e implement automated quality guardrails,\u003c\/span\u003e\u003cspan class=\"\"\u003e and safely deploy code changes using Git workflows.\u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv class=\"attachment-container search-images\"\u003e\n\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\u003c!----\u003e\n\u003c\/div\u003e\n\u003cp data-path-to-node=\"30\"\u003eAs our regional technology and corporate sectors rapidly digitize, local companies are accumulating unprecedented amounts of transactional, user, and operational data. However, many data teams are struggling to manage this sudden influx. Analysts spend up to 80% of their time manually cleaning spreadsheets, fixing broken dashboards, and arguing over why different departments have completely different numbers for the exact same business metric. This operational friction paralyzes decision-making and wastes immense engineering resources.\u003c\/p\u003e\n\u003cp data-path-to-node=\"31\"\u003e\u003ci data-path-to-node=\"31\" data-index-in-node=\"0\"\u003eAnalytics Engineering with SQL and dbt\u003c\/i\u003e provides an exceptionally clear, industry-proven roadmap to solve these exact systemic bottlenecks. Rui Machado and Hélder Russa strip away the confusion around data architecture, providing local engineering leads, startup founders, and business intelligence teams with a highly disciplined blueprint to build absolute reliability into their data platforms. It is an indispensable, must-read technical playbook for any local professional ready to master the modern data stack, eliminate data-team burnout, and transform raw enterprise databases into a powerful corporate asset.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eLanguage: English.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eGenre: Data Engineering.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eBinding: সেলাই করা বাইন্ডিং\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eQuality: Premium Quality Books.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePrinting: High Quality Printing.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003ePaper: Eye Friendly paper (Cream White)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eCover: Matt cover (Paperback).\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Royal Books BD","offers":[{"title":"Default Title","offer_id":47227090993337,"sku":null,"price":330.0,"currency_code":"BDT","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0780\/0874\/6169\/files\/Analytics_Engineering_with_SQL_and_dbt.jpg?v=1779260424","url":"https:\/\/royalbooksbd.com\/products\/analytics-engineering-with-sql-and-dbt","provider":"Royal Books BD","version":"1.0","type":"link"}