In today’s data-driven world, the ability to design and manage effective Enterprise Data Architecture (EDA) is a highly sought-after skill for career opportunities in data strategy, architecture, and management. Whether you want to advance in your current role as a data engineer or database administrator or transition to a specialized position like a data architect or enterprise data strategist,


您将学到什么
Importance, benefits, and core components of Enterprise Data Architecture (EDA) and popular data architecture frameworks.
How to design and implement Enterprise Data Architectures for specific use cases.
How to develop and implement policies and procedures, such as data retention policies and operational standards.
How to plan and execute data system migrations and modernizations.
您将获得的技能
- Dataflow
- Data Integration
- Data Processing
- Extract, Transform, Load
- Technology Strategies
- Data Governance
- Database Architecture and Administration
- Data Modeling
- Scalability
- Data Architecture
- Application Frameworks
- Data Migration
- Data Management
- Enterprise Architecture
- Data Warehousing
- Data Storage
- Emerging Technologies
要了解的详细信息
了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识
- 向行业专家学习新概念
- 获得对主题或工具的基础理解
- 通过实践项目培养工作相关技能
- 获得可共享的职业证书

该课程共有3个模块
This module provides foundational knowledge and a practical approach to designing an Enterprise Data Architecture (EDA). You will learn about the importance of EDA in managing data assets and discover the benefits of a good EDA. The module explores the key building blocks of EDA and the foundational data models—conceptual, logical, and physical—and their roles in structuring and organizing data. You will understand popular data architecture frameworks such as TOGAF, DAMA-DMBOK, and the Zachman Framework. The module also focuses on applying EDA principles in real-world scenarios by guiding through the process of designing data architecture for an e-commerce company.
涵盖的内容
10个视频2篇阅读材料3个作业6个插件
This module focusses on the processes and practices involved in managing and modernizing enterprise data operations, including core data processes, ETL practices, DataOps practices, and the data lifecycle. Through focused videos, you’ll gain a strong understanding of how organizations manage and optimize their data workflows. You will also learn to design policies and schemas tailored to specific business needs and compliance requirements. The module also provides essential knowledge and a practical approach to plan and execute data migrations and system modernizations, covering strategies for planning migrations and implementing modernization programs. You will also gain an understanding about the impact of application architectures on data operations. Finally, you’ll explore how emerging technologies and paradigms can be integrated into existing enterprise environments to drive innovation and efficiency in data management and operations.
涵盖的内容
8个视频1篇阅读材料3个作业2个应用程序项目5个插件
The module includes a final project based on the concepts covered in the course. In this module, you will attempt a graded quiz to test and reinforce your understanding of concepts. The module also includes a glossary to enhance comprehension of generative AI-related terms.
涵盖的内容
1个视频3篇阅读材料1个作业1次同伴评审1个应用程序项目1个插件
获得职业证书
将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。
提供方
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University of Minnesota
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常见问题
This course is designed for aspiring data architects, engineers, IT professionals, and database administrators who want to optimize their organization’s data systems and operations.
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 enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
更多问题
提供助学金,
¹ 本课程的部分作业采用 AI 评分。对于这些作业,将根据 Coursera 隐私声明使用您的数据。