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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-quality-data-profiling-with-pentaho-di-datacleaner/
课程评论：没有评论
## 课程总结：使用 Pentaho DI 和 DataCleaner 实现数据质量与数据探查 本课程旨在帮助您掌握数据质量管理的关键术语、基础概念及实施技术，并学会如何利用流行的 ETL 工具 Pentaho Data Integration (PDI) 和数据质量工具 DataCleaner 来构建功能完善的数据质量解决方案。 **核心内容：** * **数据质量基础：** 深入理解数据质量的重要性，以及为何它是现代商业成功的关键。 * **Pentaho DI 基础：** 学习 PDI 的基本操作和概念，为后续的数据抽取、转换和加载打下基础。 * **DataCleaner 工具：** 掌握 DataCleaner 的功能，包括数据探查、数据清洗、数据标准化等。 * **实施技术：** 通过全面的动手实践环节，学习如何将数据质量和数据探查任务自动化。 * **实际案例：** 课程包含大量的演示会话，涵盖各种用例，让您能够边学边练，巩固所学知识。 * **自动化 DQM：** 学习如何自动化数据质量管理 (DQM) 流程，提高效率。 **学习收获：** 完成本课程后，您将能够： * 自信地实施全自动化的数据质量解决方案。 * 理解数据质量在业务中的关键作用，并能应对各种数据处理挑战。 * 熟练运用 Pentaho DI 和 DataCleaner 进行数据质量管理。 * 将所学技能应用于其他 ETL 或数据质量保证工具。 **课程特点：** * **内容丰富：** 课程包含 8 个会话，43 个讲座，内容时长达 103 分钟。 * **实操导向：** 大量的演示会话和动手练习，确保您能掌握实际操作技能。 * **知识巩固：** 提供测验，帮助您检验学习成果。 * **资源下载：** 提供课程演示用的文件，方便您自行练习。 本课程适合所有希望提升数据处理能力、保障数据质量、并借此获得职业发展机会的数据从业者。
Learn the key terminologies, basic concepts, implementation techniques that you will need to build fully functional data quality implementations with the popular ETL tool - Pentaho Data Integration and Data Quality tool - DataCleaner. Learn by comprehensive hands-on sessions to improve the data quality by profiling, cleansing and automating the DQM process with tools. The concepts learned in this course can be applied in other ETL or Data Quality assurance tool as well. Take care of the data to take care of the businessLearning the fundamentals and understanding the implementation of Data Quality tasks is something very imperative for any business to keep up in this competitive world. Ensuring the data quality will keep your business or projects from losses. There are plenty of opportunities in data domain, and being able to learn and appreciate the importance of data quality will give you a confidence to tackle the challenges that you encounter while handling data of any volume and format. Content and Overview Through this 8 session course, 43 lectures and 103 minutes of content, you will learn the key terms in Data Quality, basics of Pentaho Data Integration and Datacleaner tool, how to install the tools, how to automate the key data quality and data profiling tasks with series of demo sessions. You can test the knowledge gained through the sessions by attending quizzes and every use case mentioned in the course are explained with demo sessions thereby enabling you to practice the newly learned skills. Downloadable Resources You can also download the files (available in the last session of this course) used for demo sessions in the course to practice at your end. Learners who completes this course will have the knowledge and confidence to implement fully functional automated data quality solutions in the projects.
