Data Management Concepts

Overview

Master the key concepts of data management, from life cycle stages to security and governance.

Dive into data management with this course designed for both enthusiasts and leaders. Learn about the data life cycle, key principles, and pillars such as governance, quality, and security. Understand how to evaluate and improve your organization’s data management maturity, addressing ethical issues like privacy. Hear about emerging trends like data mesh architecture and prepare to make informed decisions in a data-driven business world.

Syllabus

Demystifying data management

Embark on an introductory journey into data management in this chapter. Uncover the benefits it offers, examine the stages of the data life cycle, and conclude by understanding the key principles that enable effective data management.

Pillars of data management

Delve into the pillars of data management in this chapter, where exploration of reliability, safety, governance, and intelligence unfolds. Uncover the complexities of building a robust data foundation and navigate the dynamic phases of data management through Peter Aiken's DMBoK Pyramid, acknowledging the adaptability essential for organizational distinctiveness.

Data management within organizations

As your data management journey nears its end, you'll be armed with practical blueprints to assess your data's maturity, build trust through transparent accountability, and uphold ethical practices. With these tools, you'll unlock your data's full potential, crafting future-proof strategies that propel your organization to new heights.