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.

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.

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.