Data Engineering With Dbt
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Data Engineering With Dbt
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Author : Roberto Zagni
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-06-30
Data Engineering With Dbt written by Roberto Zagni and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-30 with Computers categories.
Use easy-to-apply patterns in SQL and Python to adopt modern analytics engineering to build agile platforms with dbt that are well-tested and simple to extend and run Purchase of the print or Kindle book includes a free PDF eBook Key Features Build a solid dbt base and learn data modeling and the modern data stack to become an analytics engineer Build automated and reliable pipelines to deploy, test, run, and monitor ELTs with dbt Cloud Guided dbt + Snowflake project to build a pattern-based architecture that delivers reliable datasets Book Descriptiondbt Cloud helps professional analytics engineers automate the application of powerful and proven patterns to transform data from ingestion to delivery, enabling real DataOps. This book begins by introducing you to dbt and its role in the data stack, along with how it uses simple SQL to build your data platform, helping you and your team work better together. You’ll find out how to leverage data modeling, data quality, master data management, and more to build a simple-to-understand and future-proof solution. As you advance, you’ll explore the modern data stack, understand how data-related careers are changing, and see how dbt enables this transition into the emerging role of an analytics engineer. The chapters help you build a sample project using the free version of dbt Cloud, Snowflake, and GitHub to create a professional DevOps setup with continuous integration, automated deployment, ELT run, scheduling, and monitoring, solving practical cases you encounter in your daily work. By the end of this dbt book, you’ll be able to build an end-to-end pragmatic data platform by ingesting data exported from your source systems, coding the needed transformations, including master data and the desired business rules, and building well-formed dimensional models or wide tables that’ll enable you to build reports with the BI tool of your choice.What you will learn Create a dbt Cloud account and understand the ELT workflow Combine Snowflake and dbt for building modern data engineering pipelines Use SQL to transform raw data into usable data, and test its accuracy Write dbt macros and use Jinja to apply software engineering principles Test data and transformations to ensure reliability and data quality Build a lightweight pragmatic data platform using proven patterns Write easy-to-maintain idempotent code using dbt materialization Who this book is for This book is for data engineers, analytics engineers, BI professionals, and data analysts who want to learn how to build simple, futureproof, and maintainable data platforms in an agile way. Project managers, data team managers, and decision makers looking to understand the importance of building a data platform and foster a culture of high-performing data teams will also find this book useful. Basic knowledge of SQL and data modeling will help you get the most out of the many layers of this book. The book also includes primers on many data-related subjects to help juniors get started.
Analytics Engineering With Sql And Dbt
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Author : Rui Pedro Machado
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-12-08
Analytics Engineering With Sql And Dbt written by Rui Pedro Machado and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-08 with Computers categories.
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
Dbt For Analytics Engineering
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Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-08-20
Dbt For Analytics Engineering written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-20 with Computers categories.
"dbt for Analytics Engineering" "dbt for Analytics Engineering" is a comprehensive guide for modern data practitioners seeking to master the evolving discipline of analytics engineering. The book begins by tracing the origins of analytics engineering and examining the emergence of the modern data stack, with an in-depth look at dbt’s transformative role in shaping data workflows, architectural patterns, and large-scale organizational adoption. Through real-world case studies and expert insights, readers will gain a foundational understanding of how dbt enables efficient, collaborative, and scalable data transformation practices within diverse business contexts. Diving into advanced project architecture, the book offers practical frameworks for structuring scalable dbt projects, managing configurations across multiple environments, and implementing robust model materializations. Readers will learn to harness Jinja and macros for code reusability, ensure high-performance data modeling using dimensional and Data Vault approaches, and adopt modular design patterns that optimize both maintainability and analytical clarity. In addition, dedicated chapters address the rigorous testing, quality assurance, and data governance practices needed to ensure trust, compliance, and discoverability in enterprise data assets. The practical reach of "dbt for Analytics Engineering" extends to cloud warehouse optimization, orchestration, automation, and CI/CD integration, providing readers with strategies for deploying and managing analytics projects at enterprise scale. The book concludes by exploring the technological frontiers of analytics engineering—from integrating machine learning and real-time data streaming to building custom dbt plugins and embracing federated data models. With actionable guidance on scaling analytics teams, managing dependencies, and implementing secure, audit-ready workflows, this book is an indispensable resource for anyone seeking to lead or innovate in the era of modern analytics engineering.
Dbt For Analytics Engineering On Bigquery
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Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-10-25
Dbt For Analytics Engineering On Bigquery written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-25 with Computers categories.
"DBT for Analytics Engineering on BigQuery" Unlock the full potential of your data warehouse by mastering the intersection of analytics engineering, DBT, and Google BigQuery. "DBT for Analytics Engineering on BigQuery" offers a comprehensive, technical deep dive into building robust, scalable, and cost-efficient analytics pipelines in the cloud. The book begins by laying a strong foundation in BigQuery architecture and analytics engineering paradigms, exploring key concepts such as storage and compute separation, distributed query execution, data governance, and the transformational role of DBT within the modern data lifecycle. Progressing beyond fundamentals, the text delivers practical guidance on advanced DBT features tailored for BigQuery, including incremental models, materializations, macros, and templating for reusable and flexible model design. Readers will learn sophisticated data modeling techniques—ranging from star and snowflake schemas to Data Vault and temporal modeling—while gaining hands-on strategies for ingesting semi-structured data, implementing change data capture, enforcing granular security, and automating documentation and data lineage. Integrated workflows for testing, validation, documentation, and data quality assurance ensure that every transformation meets enterprise-grade standards for reliability and compliance. Culminating with real-world solutions for orchestration, DevOps, and emerging analytics applications, the book details best practices for scheduling, deployment, and monitoring of DBT projects in production, including CI/CD integration, cost optimization, and performance engineering. The final chapters look to the future, covering the rapid evolution of semantic layers, AI-driven observability, data contracts, and mesh architectures. Whether you are a data engineer, analytics professional, or technical leader, this guide equips you to harness DBT and BigQuery for next-generation analytics engineering at scale.
Management For Engineers Scientists And Technologists
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Author : John V. Chelsom
language : en
Publisher: John Wiley & Sons
Release Date : 2005
Management For Engineers Scientists And Technologists written by John V. Chelsom and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Business & Economics categories.
Significantly revised and updated, this second edition of Management for Engineers, Scientists and Technologists is vital reading for all students of any of these subjects hoping to make it in the real world. Increasingly, students of engineering, science and technology subjects are finding that their success depends as much on general management skills and understanding operational systems as on their technical expertise. This book offers students that all- important firm foundation in management training. Management for Engineers, Scientists and Technologists offers a practical and accessible introduction to management and provides a comprehensive guide to the management tools used in managing people and other resources. Part 1 includes a series of chapters on management applications and concepts, starting with basic issues such as ‘What is a business?’ and ‘What is management?’, continuing through management of quality, materials and new product development and concluding with examples of successful companies who provide good models of management. Part 2 considers human resource management and communications, introduces tools and techniques for managing machines and materials, examines financial management, describes the procedures and tools of project management, analyses the supply system and the processes of inventory control, studies business planning and marketing, and concludes with a new chapter on the management of SMEs. The authors’ significant experience in both teaching and industry provides valuable lessons in business management, and allows them to provide case studies with real insight.
Data Build Tool Demystified
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Author : Faisal Ansari (Writer on database management)
language : en
Publisher:
Release Date : 2023
Data Build Tool Demystified written by Faisal Ansari (Writer on database management) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Database management categories.
"Data Build Tool Demystified is a comprehensive guide that aims to demystify the world of dbt (Data Build Tool) and empower data engineers, analysts, and professionals in the field of data engineering and analytics. The book offers a step-by-step journey into understanding and utilizing dbt to build efficient and reliable data pipelines for actionable insights."--Back cover.
An Introduction To Management For Engineers
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Author : Andrew C. Payne
language : en
Publisher:
Release Date : 1996-05-03
An Introduction To Management For Engineers written by Andrew C. Payne and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-05-03 with Business & Economics categories.
Enhanced by sections drawn from other management courses, this book is based on the Engineering Management Program, a course which offers all its undergraduate engineers portable management skills.
Unlocking Dbt
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Author : Dustin Dorsey
language : en
Publisher: Springer Nature
Release Date : 2025-09-30
Unlocking Dbt written by Dustin Dorsey and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-30 with Computers categories.
Master the art of data transformation with the second edition of this trusted guide to dbt. Building on the foundation of the first edition, this updated volume offers a deeper, more comprehensive exploration of dbt’s capabilities—whether you're new to the tool or looking to sharpen your skills. It dives into the latest features and techniques, equipping you with the tools to create scalable, maintainable, and production-ready data transformation pipelines. Unlocking dbt, Second Edition introduces key advancements, including the semantic layer, which allows you to define and manage metrics at scale, and dbt Mesh, empowering organizations to orchestrate decentralized data workflows with confidence. You’ll also explore more advanced testing capabilities, expanded CI/CD and deployment strategies, and enhancements in documentation—such as the newly introduced dbt Catalog. As in the first edition, you’ll learn how to harness dbt’s power to transform raw data into actionable insights, while incorporating software engineering best practices like code reusability, version control, and automated testing. From configuring projects with the dbt Platform or open source dbt to mastering advanced transformations using SQL and Jinja, this book provides everything you need to tackle real-world challenges effectively. What You Will Learn Understand dbt and its role in the modern data stack Set up projects using both the cloud-hosted dbt Platform and open source project Connect dbt projects to cloud data warehouses Build scalable models in SQL and Python Configure development, testing, and production environments Capture reusable logic with Jinja macros Incorporate version control with your data transformation code Seamlessly connect your projects using dbt Mesh Build and manage a semantic layer using dbt Deploy dbt using CI/CD best practices Who This Book Is For Current and aspiring data professionals, including architects, developers, analysts, engineers, data scientists, and consultants who are beginning the journey of using dbt as part of their data pipeline’s transformation layer. Readers should have a foundational knowledge of writing basic SQL statements, development best practices, and working with data in an analytical context such as a data warehouse.
Fundamentals Of Analytics Engineering
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Author : Dumky De Wilde
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-03-29
Fundamentals Of Analytics Engineering written by Dumky De Wilde and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-29 with Computers categories.
Gain a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering Key Features Discover how analytics engineering aligns with your organization's data strategy Access insights shared by a team of seven industry experts Tackle common analytics engineering problems faced by modern businesses Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWritten by a team of 7 industry experts, Fundamentals of Analytics Engineering will introduce you to everything from foundational concepts to advanced skills to get started as an analytics engineer. After conquering data ingestion and techniques for data quality and scalability, you’ll learn about techniques such as data cleaning transformation, data modeling, SQL query optimization and reuse, and serving data across different platforms. Armed with this knowledge, you will implement a simple data platform from ingestion to visualization, using tools like Airbyte Cloud, Google BigQuery, dbt, and Tableau. You’ll also get to grips with strategies for data integrity with a focus on data quality and observability, along with collaborative coding practices like version control with Git. You’ll learn about advanced principles like CI/CD, automating workflows, gathering, scoping, and documenting business requirements, as well as data governance. By the end of this book, you’ll be armed with the essential techniques and best practices for developing scalable analytics solutions from end to end.What you will learn Design and implement data pipelines from ingestion to serving data Explore best practices for data modeling and schema design Scale data processing with cloud based analytics platforms and tools Understand the principles of data quality management and data governance Streamline code base with best practices like collaborative coding, version control, reviews and standards Automate and orchestrate data pipelines Drive business adoption with effective scoping and prioritization of analytics use cases Who this book is for This book is for data engineers and data analysts considering pivoting their careers into analytics engineering. Analytics engineers who want to upskill and search for gaps in their knowledge will also find this book helpful, as will other data professionals who want to understand the value of analytics engineering in their organization's journey toward data maturity. To get the most out of this book, you should have a basic understanding of data analysis and engineering concepts such as data cleaning, visualization, ETL and data warehousing.
Gestion Strat Gique Des Co Ts Des Futurs Syst Mes D Armes
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Author : North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Flight Vehicle Integration Panel. Symposium
language : en
Publisher:
Release Date : 1998
Gestion Strat Gique Des Co Ts Des Futurs Syst Mes D Armes written by North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Flight Vehicle Integration Panel. Symposium and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Weapons systems categories.