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所在平台: Udemy |
课程主页: https://www.udemy.com/course/dbt-data-build-tool-masterclass-complete-guide-to-dbt/
课程评论:没有评论
课程名称:dbt Data Build Tool 大师班 - 完整指南 概述:您是否希望参与数据工程的下一个浪潮,学习ELT和分析工程?您是否希望掌握dbt数据构建工具,释放数据分析项目的真正潜力?如果是,那么本课程正是为您而设。在这个全面且实用的课程中,您将深入了解dbt的世界,学习如何利用其强大的功能构建稳健的数据转换管道。无论您是数据工程师、数据分析师还是数据科学家,本课程将为您提供加速数据分析工作流的必备技能,助您成为顶级数据工程师和数据分析师。 本课程提供超过6小时的相关教学视频,是唯一涵盖所有dbt概念并教授如何部署dbt数据构建工具ELT项目的课程。我们将逐步讲解每一个概念,从物化和测试,到增量加载和快照。 课程内容: 1. 课程介绍 - 掌握课程内容,成功学习的要点及课程路线图。 2. dbt账户设置 - 创建dbt账户,设置Snowflake并加载示例数据。 3. dbt模型 - 学习如何使用dbt模型定义、结构和组织数据转换。 4. dbt测试 - 掌握编写测试以确保dbt模型质量和准确性的艺术。 5. dbt物化 - 探索不同的物化技术,以优化dbt模型的性能和可扩展性。 6. dbt种子和数据源 - 了解如何将种子和数据源纳入dbt项目以进行数据摄取和初步数据设置。 7. dbt Cloud功能 - 发现dbt Cloud提供的强大功能和功能,实现无缝协作和部署。 8. dbt Jinja和文档 - 利用Jinja模板生成自动文档。 9. dbt加载和自定义宏 - 增强数据加载能力,创建自定义宏以扩展dbt功能。 10. dbt快照 - 学习如何利用dbt快照捕获数据的历史版本。 11. dbt钩子 - 深入了解dbt钩子,并学习如何将外部脚本和操作集成到dbt工作流中。 12. dbt分析 - 在dbt项目中掌握使用SQL进行复杂数据分析和生成可行见解。 13. 结论 - 总结课程内容,讨论后续步骤。 选择这个课程的原因: - 完整指南 - 本课程涵盖从基础到高级的所有内容,系统化帮助您成功学习。 - 采用实践方式 - 所有概念都会通过实际应用进行讲解。 - 学习如何解决问题 - 通过处理实际错误和新特性增强您的问题解决能力。 - 教师答疑 - 我们将始终支持您的学习旅程。 如果您希望学习dbt数据构建工具,并在数据和分析工程的旅程中迈出重要一步,那么这个课程适合您。期待您加入课程并获得证书!
*PLEASE READ BELOW *Do you want to take part in the next wave of Data Engineering and learn ELT and Analytical Engineer?Are you looking to master dbt Data Build Tool and unlock the true potential of your data analytics projects?Do you want to seamlessly transform and manage your data pipelines in a scalable and efficient manner?If so, then this course if for you. In this comprehensive and hands-on course, you will dive deep into the world of dbt and learn how to leverage its power to build robust data transformation pipelines. Whether you are a data engineer, data analyst, or data scientist, this course will equip you with the essential skills to accelerate your data analytics workflows and become a top Data Engineer and Data Analyst.Learn from more than 6 hours of relevant instructional video content, with the only course that will go through all dbt concepts to teach you how to deploy dbt Data Build Tool ELT projects. We will go through every single concept from start to finish, from Materializations and Tests, to Incremental Loads and Snapshots.What is this course all about?This course has one objective: teach you dbt (Data Build Tool), its features, and use them to transform your data engineering workflows. We do this by creating instructional video content where we go through each dbt concept, one-by-one, and apply it to a practical real-life example.What is dbt?dbt (Data Build Tool) is an open-source command-line tool designed for transforming and modeling data in the context of data analytics and data warehousing. It enables data analysts and engineers to define, document, and test data transformation processes using SQL. dbt (Data Build Tool) allows you to build scalable and maintainable data pipelines by providing features like version control, modularity, and dependency management. It promotes the use of SQL as a codebase, enabling collaboration, reproducibility, and automation in data transformation workflows.What is dbt Core vs. dbt Cloud?dbt Core refers to the open-source version of dbt that can be installed and run locally on a user's machine or server. It encompasses the essential functionality of dbt, including data modeling, testing, and documentation of data transformations.dbt Cloud is a cloud-based platform offered by Fishtown Analytics, the creators of dbt. It provides a managed and hosted environment for running dbt projects in the cloud. dbt Cloud goes beyond the core capabilities of dbt Core, offering additional features such as a user-friendly web interface, scheduling and orchestration of dbt runs, collaboration tools, and integration with popular data warehouses and BI tools.In this course, we will learn about both elements in dbt Core and dbt Cloud, with a particular focus on DBT Cloud.Why learn dbt?Streamline data transformation: dbt enables you to efficiently transform and analyze data in your data warehouse, saving time and effort in the data preparation process.Maintain data integrity: dbt (Data Build Tool) provides a structured and version-controlled approach to data transformations, ensuring consistency and reliability in your data pipelines.Collaborate effectively: Learning dbt allows you to work seamlessly with data teams, data analysts, and engineers, fostering collaboration and enabling efficient teamwork on data projects.Enable scalable analytics: With dbt, you can build scalable and modular data models that can adapt and grow as your organization's data needs evolve, enabling efficient data analysis and reporting.Improve data documentation: dbt Data Build Tool encourages documenting data transformations, making it easier for teams to understand and maintain data pipelines, enhancing data governance and knowledge sharing.Stay up-to-date with industry standards: dbt has gained significant popularity in the data engineering and analytics community, and learning dbt allows you to stay current with the latest industry practices and trends.Enhance career opportunities: Proficiency in dbt can open doors to various job opportunities in data engineering, data analysis, and data operations roles, as many organizations are adopting dbt as a standard data transformation tool.Why choose this course?Complete guide - this is the start to finish, zero to hero, basic to advanced guide on dbt. There is no other course like it that teaches you everything from start to finish. It has 6 hours of instructional content!Structured to succeed - this course is structured to help you succeed. We go through all the features of dbt and learn how to use it in a practical way.Fully instructional - we not only go through important concepts, but also apply them as we are building our application so that we can solidify them. This is not only a walkthrough of the all the features and theoretical concepts, but a course that actually builds applications with you.Step by step - we go through every single concept in a sequential order (from learning about dbt Models, Materializations, and more. This improves your probabilities of learning these platforms to build solutions rather than going haphazardly through each feature.Learn to learn during the latter parts of the course, we go through situations where we encounter new features or errors, and work through how we would use the documentation to resolve them. In this way, you not only learn about these platforms and how they interact inside and out, but learn how to resolve your own issues as they come up.Teacher response if there's anything else you would like to learn, or if there's something you cannot figure out, I'm here for you! Look at the ways to reach out video.Reference material - follow along! I provide all reference material directly to you so you can follow along in your learning journey.Course overviewIntroduction - learn about the course, how to succeed, and the course roadmapdbt Account Setup - create your dbt account, set up Snowflake, and load sample datadbt Models - Learn to define, structure, and organize your data transformations using dbt models.dbt Tests - Master the art of writing tests to ensure the quality and accuracy of your dbt models.dbt Materializations - Explore different materialization techniques to optimize the performance and scalability of your dbt models.dbt Seeds and Sources - Understand how to incorporate seeds and sources into your dbt projects for data ingestion and initial data setup.dbt Cloud Features - Discover the powerful features and functionalities offered by dbt Cloud for seamless collaboration and deployment.dbt Jinja and Docs - Harness the power of Jinja templating and generate automated documentation for your dbt projects.dbt Load and Custom Macros - Enhance your data loading capabilities and create custom macros to extend the functionality of dbt.dbt Snapshots - Learn how to leverage dbt snapshots to capture historical versions of your data for auditing and analysis purposes.dbt Hooks - Dive into dbt hooks and learn how to integrate external scripts and actions into your dbt workflows.dbt Analyses - Gain expertise in dbt analyses to perform complex data analysis and generate actionable insights using SQL within your dbt projects.Conclusion - Wrap up the course and discuss next stepsIf you want to learn dbt Data Build Tool and take a large step in your Data and Analytical Engineering journey, then this is the course for you. We're looking forward to having you in the course and hope you earn the certificate.Music: Bensound