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所在平台: Udemy |
课程主页: https://www.udemy.com/course/dbt-data-build-tool-the-analytics-engineering-guide/
课程评论：没有评论
**课程名称:** dbt (Data Build Tool): The Analytics Engineering Guide **课程概述:** 本课程旨在帮助数据专业人士提升技能，深入学习 dbt (Data Build Tool)。通过实践教学，您将掌握 dbt 的核心概念和应用，为成为一名优秀的分析工程师奠定基础。 **您将学到：** * **dbt 架构理解:** 了解 dbt 的基本原理、概念和整体架构。 * **dbt 模型开发:** 学习如何将业务逻辑转化为高性能的 SQL 查询，并构建清晰的模型逻辑。 * **数据建模错误排查:** 掌握排除和解决数据建模过程中出现的常见错误的技巧。 * **数据管道监控:** 学习如何高效地监控和管理 dbt 工作流。 * **dbt 测试实施:** 熟练运用 dbt 内置和自定义测试，确保数据准确性和可靠性。 * **dbt 作业部署:** 理解如何在不同环境中设置和管理 dbt 作业。 * **dbt 文档创建与维护:** 学习如何为 dbt 项目创建详细和有用的文档。 * **通过版本控制推广代码:** 掌握如何使用 Git 进行 dbt 项目的版本控制。 * **数据仓库中的 dbt 环境设置:** 学习如何在您的数据仓库中为 dbt 设置和管理不同环境。 * **数据模型测试:** 了解如何使用 dbt 的内置测试以及创建自定义测试。 **课程亮点:** * **实操性强:** 提供动手实践机会，帮助您快速掌握 dbt。 * **职业发展:** 为参与 dbt 分析工程师认证考试做好充分准备。 * **适用广泛:** 无论您是数据工程师、数据分析师，还是对数据工作流管理感兴趣，本课程都将为您提供宝贵的知识和技能。 * **零基础友好:** 无需 dbt 经验，但具备 SQL 和基础数据工程知识将更有帮助。 **免责声明:** 本课程内容基于讲师的经验和知识，仅供教育目的。本课程与 dbt Labs, Inc. 或其子公司、分支机构以及提及的数据平台或工具没有任何官方关联、授权或背书。
Take your skills as a data professional to the next level with this Hands-on Course course on dbt, the Data Build Tool.Start your journey toward mastering Analytics Engineering by signing up for this course now!This course aims to give you the necessary knowledge and abilities to effectively use dbt in your data projects and help you achieve your goals.This course will guide you through the following:Understanding the dbt architecture: Learn the fundamental principles and concepts underlying dbt.Developing dbt models: Discover how to convert business logic into performant SQL queries and create a logical flow of models.Debugging data modeling errors: Acquire skills to troubleshoot and resolve errors that may arise during data modeling.Monitoring data pipelines: Learn to monitor and manage dbt workflows efficiently.Implementing dbt tests: Gain proficiency in implementing various tests in dbt to ensure data accuracy and reliability.Deploying dbt jobs: Understand how to set up and manage dbt jobs in different environments.Creating and maintaining dbt documentation: Learn to create detailed and helpful documentation for your dbt projects.Promoting code through version control: Understand how to use Git for version control in dbt projects.Establishing environments in data warehouses for dbt: Learn to set up and manage different environments in your data warehouse for dbt projects.Testing Data Models: Learn how to use built-in tests in dbt and create custom ones.By the end of this course, you will have a solid understanding of dbt, be proficient in its use, and be well-prepared to take the dbt Analytics Engineering Certification Exam. Whether you're a data engineer, a data analyst, or anyone interested in managing data workflows, this course will provide valuable insights and practical knowledge to advance your career.Please note that this course does not require any prior experience with dbt. However, familiarity with SQL and basic data engineering concepts will be helpful.Disclaimer: This course is not affiliated, associated, authorized, endorsed by, or in any way officially connected with dbt Labs, Inc. or any of its subsidiaries or its affiliates. The name "dbt" and related names, marks, emblems, and images are registered trademarks of dbt Labs, Inc. Similarly; this course is not officially connected with any data platform or tools mentioned in the course. The course content is based on the instructor's experience and knowledge and is provided only for educational purposes.
