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所在平台: Udemy |
课程主页: https://www.udemy.com/course/2023-databricks-etl-data-engineer-from-beginner-to-expert/
课程评论：没有评论
课程名称：2023 Databricks ETL 数据工程师从入门到精通 课程概述： 如果你希望通过短期培训获得更高的收入，那么这个课程正适合你。随着人工智能和大数据成为工业4.0的驱动力，数据工程师这一高薪职位的需求正在不断上升，且人才短缺。转型成为数据工程师是提升职业生涯的最佳选择之一，能够带来更高的薪酬、长期的合同和较低的压力。 本课程将让你了解前线数据工程师是如何从零开始执行ETL，借助实际的开放银行项目获取实战经验，掌握强大的ETL框架和ISTQB测试策略。参加此课程后，你将具备与年薪超过20万美元的数据工程师相媲美的能力，能够独立解决复杂的ETL问题。即便你已经是数据工程师，本课程也能提升你的ETL技能，帮助你在ETL过程中节省大量计算时间和成本。 课程内容包括6个部分，总时长约5小时，具体学习主题如下： 1. 我们能为你带来的价值：理解课程结束后你所能掌握的价值能力，以及额外的免费学习资源。 2. Azure Databricks 和 Cosmos DB 设置：独立完成Azure Databricks和Cosmos DB的搭建与连接。 3. ETL 项目初始化：从零开始获得真实商业开放银行项目的经验，包括抓住业务需求、转化为技术需求、设计解决方案并实施。 4. ETL 和测试业务目标及测试策略：识别我们要实现的业务目标，采用合适的测试策略，并计划静态测试和左移测试的方法。 5. 数据提取与转换：实现数据提取和转换功能，并创建智能机制以低成本高效检测数据变更。 6. 稳定快速的数据摄取：作为专家解决ETL在性能、稳定性和可靠性等方面的复杂问题，获得强大的框架和脚本，并定制应用到自己的项目中。 本课程将帮助你提高自由时间，省去繁重的工作，将工作交给ETL框架和脚本。课程完结后，别忘了查看我的其他课程，学习如何使用ISTQB认可的自动化测试框架测试项目：2023 Databricks ETL 测试服务完整指南。
Are you thinking of getting higher income for a long time with a short training period? Then, you come to the right place. As you know AI and big data are the driving forces behind Industry 4.0. Data engineer is high-paid role. As the shortage of data engineers continues and the demand for skilled data engineer is soaring. Switching to data engineer is one of the best options for your career, which can get higher pay, long-term contracts and less pressure. By joining this course, you will know how the front-line data engineers execute ETL with real open banking project from the scratch, get the ready-to-use, practical and powerful ETL framework and the ISTQB testing strategy. So, it will be highly possible to pass your job interview because you really have the similar capabilities with data engineers who earn $200, 000+ yearly and be able to resolve complex ETL issues on your own after this course.If you are already a data engineer, this course will sharpen your ETL skills. This course can free yourself via saving huge amount of computing time and cost during ETL process. More importantly, you will get the capabilities of resolving complex issues in terms of performance, stability and reliability. You will enjoy more free time and leave the hard work to the ETL framework and scripts.With 6 sections and about 5 hours of high-quality content, you will learn the following topics in depth:Section #1: Values We Can Bring to YouYou will understand what valuable capabilities you can take away after this course and extra free live resources you can keep learning.Section #2: Azure Databricks and Cosmos DB SetupYou are able to set up Azure Databricks, Cosmos DB and connect them on your own. Section #3: ETL Project InitializationGet real commercial open banking project experience from scratch including grabbing business requirement, Coverting it to technical requirement, designing the solution and implementing it.Section #4: ETL and Testing Business Goal and Test StrategyIdentify business goals we are going to achieve and adopt right test strategies and plan static testing and shift-left testing approach.Section #5: Data Extraction and TransformationImplement data extraction and transformation functionalities and create a smart mechanism to detect if data is modified with lower cost in terms of time and efficiency.Section #6: Stable and Speedy Data IngestionResolve complex ETL issues in terms of performance, stability and reliability, etc. as an expert and get the powerful framework and scripts and customize them and apply to your own projects. Last but not least:Enjoy this course and don't forget to check out my other courses if you want to learn how to test the project with ISTQB recognized automation testing framework:2023 Databricks ETL Testing Services Complete Guide
