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所在平台: Udemy |
课程主页: https://www.udemy.com/course/automating-etl-complete-code-challenges-and-etl-projects/
课程评论：没有评论
课程名称：自动化ETL - 完整的代码挑战与ETL项目 概述：本课程提供了一个关于自动化ETL的全面指南，详细介绍了每个步骤及其实现方法。课程适合所有数据领域的从业者，从员工到高管均可参与。随着对ETL开发人员需求的增加，本课程强调了减少ETL工作量的方法和架构，使学员能够更多地专注于技能提升。课程内容包括：理解提取过程及构建自动化架构；理解加载过程及其必要变更及自动化；识别转化过程中的各种问题及其可重用解决方案；掌握ETL的高级技术及其理论与应用；通过代码挑战加深对每个ETL步骤的理解；回顾应用ETL技术的案例研究，尤其对自由职业者提升商业信誉有帮助。此外，课程还允许使用SQL Server、SSIS、PowerShell、MongoDB、Apache Spark等工具。 课程提供的学习材料：每年更新的新内容，帮助学员了解ETL开发人员面临的新挑战；在48小时内回复学员的问题，促进有效讨论；对长期成功的学生提供的每年三次奖励材料；专注于无干扰的视频讲座，展示ETL过程的实际操作以及相关代码/脚本；动态课程大纲，包括增强学习的额外内容链接及急需ETL开发人员的招聘信息；在视频讲座中使用的脚本/代码及额外工具；导入课程中使用的材料文件；完成课程项目及自己的项目开发；满足资格的学生可参与反馈环节，练习回答问题与展示自己的项目。 在未来，理解、操控和转化数据的重要性将不断增加。通过自动化掌握这些技能的人将在竞争中占据优势。本课程将指导学员如何自动化这些步骤。
This course covers a guide to automating ETL by reviewing each step and how this can be achieved. This course is designed for anyone who works in the data field - from employees to C-suite executives. With the demand for ETL developers increasing (per the Bureau of Labor Statistics and the opportunity to become a data provider (for business owners), I highlight methods and architecture to minimize the work that must be done for ETL, so that you can spend more time working on enhancing skills. This course covers: Understanding the extract process and constructing architecture to automate it.Understanding the load process, when change is necessary with loading, and how to automate it.Understanding different issues we may face in transform, how to minimize re-facing them with re-usable solutions.Understanding advanced techniques in ETL, the theory behind these, and applications with them.Completing code challenges in each of the ETL steps to help you learn as you do.Reviewing case studies of applied ETL techniques, especially useful for freelancers adding credibility to their business.Optional course tools of your choice: SQL Server, SSIS, PowerShell, MongoDB, Apache Spark.To provide maximum learning for students wanting to master ETL skills, whether for business opportunity or employment, the course provides the following material: New content posted every year since this course began which offer students a look into the new challenges faced by ETL developers.Q & A responses within 48 hours for students who need assistance along with ongoing discussions that students may find helpful.Tri-annual bonus material for long-term and successful students in this course based on several metrics provided by Udemy. Technology always changes which is why this course continues to be updated and built with rewards for long time students.Focused video lectures with demonstrations of ETL processes in action, the code/script used to make the process occur, and no distracting facial or background movements.Dynamic syllabus with extra content, such as links to articles and videos to enhance and increase your learning, as well as links to specific recruiters in desperate need for ETL developers (students wanting to become employees) and ways to uncover possible data providing opportunities for business owners.Scripts/code that are used in the video lectures, as well as additional tools that students can learn as they construct their own ETL architecture.Course material that we use in the course, such as files we import during the series.Course projects that you complete as well as your own project to develop.Feedback session for students who meet the requirements where you practice answering questions and presenting your own project. Understanding, manipulating and transforming data will only become more important in the future. Those who can master this through automation will have an advantage over all their competition because when we see the results of our measurement, only then can we make the appropriate changes; this course shows you how to automate those steps.
