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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learn-data-quality-tool-training-course/
课程评论：没有评论
**课程名称：** 数据质量工具 - 绝对初学者快速入门 **课程概述：** 本课程旨在为完全没有使用过数据质量和可观测性工具的初学者提供一个快速入门指南。我们将重点介绍这类工具的核心功能，帮助您快速了解其界面和能力。现代数据质量和可观测性工具利用数据科学和机器学习的最新进展，通过观察和自动化而非手动输入来管理数据集，能够迅速发现数据质量问题。 **您将学到：** * 如何设置数据质量工具账户 * 熟悉典型的数据质量工具界面 * 数据源连接方式 * 数据质量任务的运行机制 * 理解数据评分和质量指标 * 数据模式与剖析功能 * 重复数据检测 * 模式监控 * 记录和源监控 * 数据格式和结构验证 * 异常值检测 * 设置数据规则和行为 * 数据质量检查计划 * 使用评分卡和仪表板 * 探索数据目录 * 生成报告和警报 * 管理员选项和最佳实践 **目标受众：** 本课程专为绝对初学者设计。如果您已经掌握数据质量工具的使用，可能会觉得本课程过于基础。但如果您是数据质量和可观测性工具的新手，这将是一个绝佳的起点。课程结束后，还将提供进阶学习的技巧和资源。 **免责声明：** 本课程并非由 Collibra 或其关联公司赞助、 afiliado 或认可。所有产品名称和商标均为其各自所有者的财产。
Disclaimer:This course is not sponsored by, affiliated with, or endorsed by Collibra or its affiliates. All product names and trademarks are the property of their respective owners.Modern data quality and observability tools are considered by many to be the best way to manage your data sets by learning through observation and automation rather than manual input. These platforms apply the latest advancements in data science and machine learning to the challenge of data quality, surfacing issues in minutes instead of months.This is a course for absolute beginners who have never used a data quality and observability tool before. We will cover the main features without going into too much detail, so you can quickly become familiar with the tool's interface and capabilities.What will you learn in this course:How to set up an account with a data quality toolGet familiar with a typical data quality tool interfaceHow connecting to data sources worksHow running data quality jobs worksUnderstanding data scoring and quality metricsData patterns and profiling featuresDuplicate detectionSchema monitoringRecord and source monitoringData formatting and shape validationOutlier detectionSetting up data rules and behaviorsScheduling data quality checksUsing scorecards and dashboardsExploring data catalogsGenerating reports and alertsAdmin options and best practicesThis course is for absolute beginners. If you have experience with data quality tools, you may find the course too basic. However, if you are new to data quality and observability tools, this will be a great starting point. I will also provide tips and resources for further learning after you master the basics.If this is what you are looking for, enroll today and I will see you in the first lesson!
