Enterprise Data Architecture and Operations

Overview

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.

Syllabus

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.

Enterprise Data Operations

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.

Final Project and Final Exam

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.