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所在平台: Udemy |
课程主页: https://www.udemy.com/course/complete-dbt-data-build-tool-bootcamp-zero-to-hero-learn-dbt/
课程评论:没有评论
课程名称:完全的dbt(数据构建工具)训练营:从零到英雄 课程概述:通过这个课程,您将从零开始成为dbt专业人士,逐步解决实际问题!课程内容涵盖理论与实践,由一位拥有20年以上数据工程经验的讲师主讲。这是全球“最完整、持续更新”的独立dbt软件课程(截至2025年)。该课程是Udemy上评价最高和畅销的dbt课程!课程中使用的实例能够很好地展示所涵盖的许多功能,节奏恰到好处,易于重复。 在2025年1月的新内容包括:dbt 1.9及dbt认证问题和认证面试。课程的结构采用自上而下的方法,首先介绍分析工程理论,以帮助您理解dbt在现代数据堆栈中的位置和作用。之后,我们将深入探索技术细节,重点是构建完整的现实项目:Airbnb,通过这个项目,我们展示在不同阶段应使用哪些功能,并让您看到dbt在行业中的实际应用。 理论部分:强调知识转移的几个重点领域包括数据成熟度模型、有效的数据架构、数据仓库、数据湖、数据湖屋、ETL和ELT流程、数据转换、dbt(数据构建工具)的基础、分析工程、现代数据堆栈及慢变维等。 实践部分:通过实际的Airbnb项目,您将全面掌握dbt的技巧和细节。在技术深入之前,我们将帮助您设置开发环境,包括MAC和Windows开发环境的设置,以及IDE dbt扩展的安装和Snowflake的配置等技术主题。 该课程持续更新,确保您始终保持最新,适合数据工程师、数据分析师、数据科学家、BI开发人员和任何与数据湖/数据仓库/数据湖屋或使用SQL的人士。课程从零开始,不设能力预期,强调练习的重要性。 完成本课程后,您将拥有扎实的理论知识和实践经验,掌握所有基础、dbt功能、最佳实践和高级技术,成为dbt的专家。我们期待与您一起开始这段学习之旅!如有问题或反馈,请通过Udemy讨论区与我们联系。感谢您加入本课程!
Become a dbt professional from scratch with this single course, solving a real-world problem step by step! We cover both theory and hands-on practice! Delivered by an instructor with 20+ years of Data Engineering experience. This is the MOST COMPLETE, CONTINUOUSLY UPDATED independent dbt (Data Build Tool) software course in the world - as of 2025! This course is the TOP RATED and the BESTSELLER dbt course on Udemy! "Fantastic course. Well-chosen examples perfectly illustrate the many features that are covered. The pacing is spot on and it is easy to replicate the examples.""Excellent course! Edit: I managed to pass the dbt certification exam. I couldn't have done it without your help! Again, it's an awesome course!""I love how you're explaining everything at just the right level!"New in Jan 2025: dbt 1.9 & dbt Certification questions and certification interview!Thank you for joining us for The Complete dbt (Data Build Tool) Bootcamp: Zero to Hero - we are super excited to have you in the course!The structure of the course is designed to have a top-down approach. It starts with the Analytics Engineering Theory - all you need to know to put dbt (Data Build Tool) in context and to have an understanding of how it fits into the modern data stack. We start with the big picture; then, we go deeper and deeper. Once you learn about the pieces, we will shift to the technicalities - a practical section - which will focus on putting together the dbt "puzzle". The practical section will cover each and every single dbt feature present today through the construction of a complete, real-world project; Airbnb. This presents an opportunity for us to show you which features should be used at what stage in a given project, and you will see how dbt is used in the industry.THEORETICAL SECTION:Among several other topics, the theoretical section puts special emphasis on transferring knowledge in the following areas;Data-Maturity ModelWell-functioning Data ArchitecturesData Warehouses, Data Lakes, and Data LakehousesETL and ELT procedures and Data TransformationsFundamentals of dbt (Data Build Tool)Analytics EngineeringModern Data StackSlowly Changing DimensionsCTEsOnce we understand the theoretical layer and how dbt fits into the picture, we will start building out a dbt project from scratch, just as you would do in the real world.PRACTICAL SECTION:The practical section will go through a real-world Airbnb project where you will master the ins and outs of dbt! We put special focus on getting everyone up and ready before the technical deep dive; hence we will start off by setting up our Development Environment:MAC Development Environment SetupWINDOWS Development Environment SetupIDE dbt Extension InstallationCreation and Activation of Virtual EnvironmentsSetting up SnowflakeUsing the dbt Power User Visual Studio extensionOnce we are ready - among several other technical topics, the following features will be covered;dbt Modelsdbt Materializationsdbt Testsdbt Documentationdbt Sources, Seeds, Snapshotsdbt Hooks and OperationsJinja and Macrosdbt PackagesAnalyses, Exposuresdbt SeedsData Visualization (Preset)Working with Great Expectations (dbt-expectations)Debugging tests in dbtdbt OrchestrationOnce the theory and the practical stages are finished, we will dive into the best practices and more advanced topics. The course is continuously updated; whenever dbt publishes an update, we adjust the course accordingly, so you always be up to date!Who is this course for?Data EngineersData AnalystsData ScientistsBI DevelopersBI Analyst.and anyone who interacts with data lake/data warehouse/data lakehouse or uses SQL!Course Level Explained (Zero > Hero)The course has no expectations about your abilities and starts education from zero. Every exercise is an unavoidable step in your studies. In the same way, don't start an exercise of a superior level without completing the preceding ones: you will be in difficulty if you do so. Practice is the only way to learn, and it cannot be taken lightly. We will be next to you along the journey and you have our absolute support!When the Airbnb project is presented to you, you must do it entirely, without omitting any guidelines, and by understanding the objective. A project "almost completely" done is often a project "totally incomplete" for us. Give special attention to detail. Your only reliable source of information regarding the instructions is the pedagogical team, don't trust the "I've heard".By the time you complete the course, you will be equipped with both a very solid theoretical understanding and practical expertise with dbt. All the fundamentals, dbt features, best practices, advanced techniques and more will be covered in our course, which will make you become a master in dbt. Are you ready? ;)How to get help?We just published our initial round of Discussions on Udemy which is the easiest and most efficient way for you to post questions, receive answers, and peruse questions from other students. If you have questions or feedback, please reach out to us!That wraps it up for us for now!Once again, thank you for being a part of this course. We can't wait to get started with you soon!All the best,Zoltan C. Tothdbt Mark and the dbt logo are trademarks of dbt Labs, Inc.