Metadata is the control plane of every modern data platform, yet most data teams treat it as an afterthought. This course changes that. You will learn how metadata governs data discovery, trust, lineage, compliance, and automation across enterprise systems, and you will build these capabilities hands-on using OpenMetadata, one of the fastest-growing open-source metadata platforms in the industry.
Metadata Management and Data Catalogs
深入了解一个主题并学习基础知识。
初级 等级
推荐体验
推荐体验
初级
Basic SQL knowledge and familiarity with data pipelines are recommended and no prior OpenMetadata experience is required.
1 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入了解一个主题并学习基础知识。
初级 等级
推荐体验
推荐体验
初级
Basic SQL knowledge and familiarity with data pipelines are recommended and no prior OpenMetadata experience is required.
1 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
您将学到什么
Define metadata types and lifecycle stages, and identify failure modes that cause metadata to become stale in data systems
Build and operate data catalogs using OpenMetadata — including glossary creation, ownership, and lineage tracking
Implement metadata-driven governance for regulatory compliance, sensitive data classification, and audit readiness
Automate metadata workflows via APIs, react to change events, and measure platform health and adoption at scale
您将获得的技能
要了解的详细信息
91%
of learners achieved a positive career outcome
了解顶级公司的员工如何掌握热门技能
该课程共有4个模块
In this module, learners explore the fundamentals of metadata and why it acts as a control layer in modern data platforms. Key concepts include types of metadata, common misconceptions, and the metadata lifecycle. Hands-on activities introduce how data catalogs expose and organize metadata using OpenMetadata.
涵盖的内容
15个视频5篇阅读材料4个作业
15个视频•总计80分钟
- Course Introduction•4分钟
- Data, Information and Metadata Defined•6分钟
- Metadata in Modern Data Platforms•6分钟
- Metadata Management Myths Debunked•5分钟
- Types of Metadata•7分钟
- Demonstration: Exploring Database Metadata in OpenMetadata •3分钟
- Metadata Lifecycle in Data Systems•7分钟
- Metadata Sources in Data Architectures•7分钟
- Causes of Metadata Staleness•6分钟
- Demonstration: Inspecting Dataset Metadata State •4分钟
- Demonstration: Tracking Metadata Versions and Changes •3分钟
- Role of Data Catalog in Modern Data Organizations •5分钟
- Data Catalogs, Dictionaries and Wikis Compared •6分钟
- Enterprise Data Catalog Components •7分钟
- Demonstration: Searching and Navigating the Data Catalog •4分钟
5篇阅读材料•总计50分钟
- Welcome to Metadata Management and Data Catalogs•10分钟
- Metadata as a Control Plane: Conceptual Foundations •10分钟
- The Metadata Lifecycle: Creation, Decay, and Risk •10分钟
- Anatomy of a Modern Data Catalog •10分钟
- Summary of Metadata as a Data Control Layer•10分钟
4个作业•总计48分钟
- Knowledge Check: Metadata as a Data Control Layer•30分钟
- Practice Knowledge Check: Metadata Fundamentals •6分钟
- Practice Knowledge Check: Metadata Lifecycle Management•6分钟
- Practice Knowledge Check: Data Catalog Essentials•6分钟
This module focuses on how metadata supports real data work such as discovery, shared business language, ownership, and trust. Learners will explore business glossaries, metadata quality signals, and stewardship practices. Hands-on exercises demonstrate how lineage and metadata signals help users understand and safely use data.
涵盖的内容
15个视频6篇阅读材料4个作业
15个视频•总计71分钟
- User Data Search Behavior and Patterns •5分钟
- Business Metadata and Shared Language•5分钟
- Demonstration: Modeling Business Glossaries in Practice •4分钟
- Demonstration: Creating Glossary Terms in OpenMetadata •4分钟
- Demonstration: Linking Glossaries to Data Assets •5分钟
- Trust as a Metadata Challenge•6分钟
- Data Ownership and Stewardship Roles •6分钟
- Demonstration: Evaluating Metadata Quality Signals •4分钟
- Demonstration: Assigning Owners and Stewards •4分钟
- Demonstration: Applying Certification and Tier Tags •4分钟
- Introduction to Data Lineage •6分钟
- Types of Data Lineage •6分钟
- Root Causes of Data Lineage Failures•5分钟
- Demonstration: Viewing End-to-End Lineage •4分钟
- Demonstration: Performing Impact Analysis Using Lineage •4分钟
6篇阅读材料•总计60分钟
- Installing and Running OpenMetadata Locally for Full Administrative Access•10分钟
- Setting Up PostgreSQL and Connecting It to OpenMetadata•10分钟
- Designing Business Glossaries That Actually Work •10分钟
- Operationalizing Trust Through Metadata •10分钟
- Lineage Models and Impact Analysis Patterns •10分钟
- Summary of Using Metadata for Real Work•10分钟
4个作业•总计48分钟
- Knowledge Check: Using Metadata for Real Work•30分钟
- Practice Knowledge Check: Metadata for Data Discovery and Analytics•6分钟
- Practice Knowledge Check: Data Trust, Ownership, and Stewardship•6分钟
- Practice Knowledge Check: Data Lineage and Impact Analysis•6分钟
In this module, learners examine how metadata enables governance, compliance, and automation at scale. Topics include sensitive data classification, operational metadata signals, and metadata-driven platform behavior. Practical demonstrations show how metadata platforms support governance controls and operational workflows.
涵盖的内容
15个视频5篇阅读材料4个作业
15个视频•总计85分钟
- Regulatory and Sensitive Metadata •5分钟
- Demonstration: Applying Governance Models with Metadata •5分钟
- Demonstration: Classifying Sensitive Data Assets •6分钟
- Demonstration: Reviewing Audit and Change History •6分钟
- Passive Metadata and Active Metadata •6分钟
- Metadata-Driven Platform Behavior •6分钟
- Demonstration: Viewing Operational Metadata Signals •5分钟
- Demonstration: Querying Metadata via OpenMetadata APIs •5分钟
- Demonstration: Reacting to Metadata Change Events •4分钟
- Metadata Operating Models •6分钟
- Why Metadata Programs Fail •6分钟
- Metadata Lifecycle Controls for Data Governance•7分钟
- Demonstration: Analyzing Metadata Usage and Adoption •6分钟
- Demonstration: Measuring Metadata Platform Health •7分钟
- Capstone Project: Operating a Metadata Platform at Scale •6分钟
5篇阅读材料•总计50分钟
- Metadata-Driven Governance and Compliance Models •10分钟
- Command Reference for Querying Metadata via OpenMetadata APIs•10分钟
- From Passive to Active Metadata Systems •10分钟
- Running Metadata as a Long-Term Platform •10分钟
- Summary of Scaling Metadata for Governance and Automation•10分钟
4个作业•总计48分钟
- Knowledge Check: Scaling Metadata for Governance and Automation•30分钟
- Practice Knowledge Check: Metadata for Governance and Compliance•6分钟
- Practice Knowledge Check: Active Metadata and Automation•6分钟
- Practice Knowledge Check: Operating a Metadata Platform at Scale•6分钟
In the final module, learners consolidate their understanding through a practice project and final assessment. They will review the major concepts covered throughout the course. The module concludes with a summary reinforcing how metadata platforms support real-world data governance and platform operations.
涵盖的内容
1个视频1篇阅读材料2个作业
1个视频•总计3分钟
- Course Summary•3分钟
1篇阅读材料•总计30分钟
- Practice Project: Designing and Operating a Metadata-Driven Data Platform•30分钟
2个作业•总计60分钟
- End Course Knowledge Check: Metadata Management and Data Catalogs•30分钟
- Designing a Metadata Management and Data Catalog Strategy•30分钟
位教师
提供方
提供方
Edureka
Edureka is an online education platform focused on delivering high-quality learning to working professionals. We have the highest course completion rate in the industry and we strive to create an online ecosystem for our global learners to equip themselves with industry-relevant skills in today’s cutting edge technologies.
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自 2020开始学习的学生
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常见问题
Metadata management is the practice of organizing, governing, and automating the metadata that describes your data assets — including technical schemas, business definitions, lineage, ownership, and quality signals. In modern data platforms, metadata functions as a control plane: it governs how data is discovered, trusted, governed, and used across an organization. Without effective metadata management, data teams face stale catalogs, broken lineage, compliance gaps, and slow data discovery.
All hands-on exercises use OpenMetadata, an open-source metadata platform that supports data discovery, lineage tracking, glossary management, governance classification, and API-driven automation. You will set up the environment using Docker and work with real metadata operations throughout the course.
Yes. This course is built around a follow-along, hands-on learning model. Each concept is taught through step-by-step demonstrations in OpenMetadata that you can replicate on your own setup. The course includes Docker-based environment setup guidance so you can configure your local OpenMetadata installation from the very first module. You are encouraged to pause, replicate, and practice alongside each demonstration at your own pace.
A data catalog is a centralized platform for discovering, understanding, and governing data assets across an organization. Unlike a data dictionary (which lists column names and types) or a wiki (which provides static documentation), a data catalog integrates search, lineage, ownership, quality signals, and governance into a single operational layer. This course teaches you to build and operate a catalog using OpenMetadata.
Data lineage tracks how data flows through your systems — from source to transformation to consumption. In Module 2, you will view end-to-end lineage in OpenMetadata, understand why lineage breaks, and perform impact analysis to assess how upstream changes affect downstream data assets and reports.
Active metadata goes beyond static documentation. It enables metadata-driven platform behavior — where changes in metadata automatically trigger actions like alerts, quality checks, or access control updates. In Module 3, you will query metadata via OpenMetadata APIs, react to metadata change events, and build automation workflows powered by active metadata signals.
Docker familiarity is helpful but not required. The course provides guided setup instructions for running OpenMetadata in a Docker environment. You will be able to follow along even if this is your first time working with Docker containers.
Metadata management skills are in high demand across Data Governance, Data Platform Engineering, Analytics Engineering, and Data Architecture roles.
The course targets Data Engineers, Analytics Engineers, Data Platform Teams, Data Governance Leads, and Senior Analysts transitioning into platform or governance roles. If you work with data infrastructure and want to understand how metadata drives trust, discoverability, compliance, and automation, this course is for you.
Yes. Upon completing all graded assessments and the practice project, you will earn a Coursera Course Certificate from Edureka that you can add to your LinkedIn profile, resume, or CV.
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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