Enterprise Data Architecture and Operations

This course is part of multiple programs.

Instructors: Ramesh Sannareddy

Access provided by Emirates Water & Electricity Co.

2,316 already enrolled

3 modules

Gain insight into a topic and learn the fundamentals.

13 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.

13 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

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

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

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.

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 videos Total 70 minutes

Course Introduction 4 minutes
Introduction to Enterprise Data Architecture 7 minutes
Core Components of Enterprise Data Architecture 9 minutes
Types of Data Models 6 minutes
Data Architecture Frameworks 8 minutes
Future Trends in Enterprise Data Architecture 8 minutes
Understand Business Requirements 8 minutes
Assess Existing Data Infrastructure 8 minutes
Select the Tools and Technologies 7 minutes
Implement the Data Architecture 7 minutes

2 readings Total 8 minutes

Course Overview 5 minutes
Module 1 Summary: Enterprise Data Architecture 3 minutes

3 assignments Total 50 minutes

Graded Quiz: Enterprise Data Architecture 30 minutes
Practice Quiz: Introduction to Enterprise Data Architecture 10 minutes
Practice Quiz: Designing Enterprise Data Architecture 10 minutes

6 plugins Total 113 minutes

How to Make the Most of this Course 1 minute
Lab: Prepare a Flowchart for the Consolidation of Data Infrastructure 30 minutes
Lab: Prepare a data model for a Transaction processing system 30 minutes
Lab: Create an EDA blueprint (scenario) 30 minutes
Reading: Enterprise Data Architecture of an International Logistics Company 7 minutes
Storyline: Choosing the Right Data Management Tool 15 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 videos Total 64 minutes

Core Enterprise Data Operations 8 minutes
ETL in the Enterprise 7 minutes
The Practice of DataOps 8 minutes
Data Lifecycle 9 minutes
Planning for Migrations 8 minutes
Implementing a Modernization Program 8 minutes
Impact of application architectures on data operations 8 minutes
Integrating a New Technology/Paradigm into the Current Enterprise 8 minutes

1 reading Total 5 minutes

Module 2 Summary: Enterprise Data Operations 5 minutes

3 assignments Total 50 minutes

Graded Quiz: Enterprise Data Operations 30 minutes
Practice Quiz: Introduction to Enterprise Data Operations 10 minutes
Practice Quiz: Migrations and Modernization 10 minutes

2 app items Total 60 minutes

Lab: Redesign a schema designed for OLTP and modify it to suit OLAP 30 minutes
Lab: Migrate an OLTP Schema to a NoSQL Database 30 minutes

5 plugins Total 74 minutes

Lab: Draft a data retention policy for an Oil Exploration Company 30 minutes
Storyline: Choosing Storage Types 15 minutes
Case Study: Evaluation of Enterprise Architecture of a Media Company 15 minutes
Reading: Creating standardized operating procedures (SOPs) documentation for upgrades/migrations 7 minutes
Case Study: Transforming a Super Market Chain 7 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.