Who is the target audience for this course?

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.

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Enterprise Data Architecture and Operations

This course is part of multiple programs.

Instructors: Ramesh Sannareddy

3,197 already enrolled

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

17 reviews

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

17 reviews

Intermediate level

Recommended experience

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

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.

Skills you'll gain

Tools you'll learn

Application Frameworks

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

7 assignments¹

AI Graded see disclaimer

Taught in English

91% of learners achieved a positive career outcome

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is available as part of

When you enroll in this course, you'll also be asked to select a specific program.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

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,

this course provides the essential knowledge and skills to succeed in the in-demand field of EDA. Gain foundational knowledge of EDA, exploring its core components, including data models and industry-standard frameworks such as TOGAF and the Zachman Framework. This will enable you to design architecture that meets specific business requirements. Practical insights into ETL processes, DataOps practices, and lifecycle management provide a strong foundation for managing data operations. Through hands-on labs and projects, you will gain skills in designing, optimizing, and managing enterprise data architectures, ensuring efficient storage, processing, migration, and governance. With a mix of instructional lectures, activities, and labs, you’ll acquire the expertise needed to excel in enterprise data architecture.

Module details

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.

What's included

10 videos2 readings3 assignments6 plugins

10 videosTotal 70 minutes

Course Introduction4 minutes
Introduction to Enterprise Data Architecture7 minutes
Core Components of Enterprise Data Architecture9 minutes
Types of Data Models6 minutes
Data Architecture Frameworks8 minutes
Future Trends in Enterprise Data Architecture 8 minutes
Understand Business Requirements8 minutes
Assess Existing Data Infrastructure8 minutes
Select the Tools and Technologies7 minutes
Implement the Data Architecture7 minutes

2 readingsTotal 8 minutes

Course Overview5 minutes
Module 1 Summary: Enterprise Data Architecture3 minutes

3 assignmentsTotal 50 minutes

Practice Quiz: Introduction to Enterprise Data Architecture10 minutes
Practice Quiz: Designing Enterprise Data Architecture10 minutes
Graded Quiz: Enterprise Data Architecture30 minutes

6 pluginsTotal 113 minutes

How to Make the Most of this Course1 minute
Lab: Prepare a Flowchart for the Consolidation of Data Infrastructure30 minutes
Lab: Prepare a data model for a Transaction processing system30 minutes
Lab: Create an EDA blueprint (scenario)30 minutes
Reading: Enterprise Data Architecture of an International Logistics Company7 minutes
Storyline: Choosing the Right Data Management Tool15 minutes

This module focuses 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 of 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.

What's included

8 videos1 reading3 assignments2 app items5 plugins

8 videosTotal 64 minutes

Core Enterprise Data Operations8 minutes
ETL in the Enterprise7 minutes
The Practice of DataOps8 minutes
Data Lifecycle9 minutes
Planning for Migrations8 minutes
Implementing a Modernization Program8 minutes
Impact of application architectures on data operations8 minutes
Integrating a New Technology/Paradigm into the Current Enterprise8 minutes

1 readingTotal 5 minutes

Module 2 Summary: Enterprise Data Operations5 minutes

3 assignmentsTotal 50 minutes

Practice Quiz: Introduction to Enterprise Data Operations10 minutes
Practice Quiz: Migrations and Modernization10 minutes
Graded Quiz: Enterprise Data Operations30 minutes

2 app itemsTotal 60 minutes

Lab: Redesign a schema designed for OLTP and modify it to suit OLAP30 minutes
Lab: Migrate an OLTP Schema to a NoSQL Database30 minutes

5 pluginsTotal 74 minutes

Lab: Draft a data retention policy for an Oil Exploration Company30 minutes
Storyline: Choosing Storage Types15 minutes
Case Study: Evaluation of Enterprise Architecture of a Media Company15 minutes
Reading: Creating standardized operating procedures (SOPs) documentation for upgrades/migrations7 minutes
Case Study: Transforming a Super Market Chain7 minutes

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.