Overview
Key Technology Concepts: Gain an understanding of essential data management technologies, including ETLs, integrations, data lakes, and data warehouses., Data Management Operating Model: Learn the foundational pillars of a data management operating model., Advanced Solution Implementation: Explore the alternatives for selecting and implementing advanced data solutions within an organization., Toolsets and Processes: Discover sample toolsets and processes that provide practical and cost-effective solutions to most data management challenges.
Aspiring Chief Data Officers: Professionals aiming to become Chief Data Officers., Decision Makers: Leaders seeking to enhance their organization’s data management capabilities., Data Analysts: Analysts who face challenges with their current toolsets and are looking for more effective solutions.
Basic Data Management Knowledge: A basic understanding of everyday data challenges is helpful., No Advanced Skills Needed: No prior programming experience or advanced technological knowledge is required. You’ll learn everything you need to succeed.
In today’s data-driven world, organizations depend on fast, reliable, and well-structured data to make smarter decisions. Yet many teams still struggle with scattered systems, inconsistent processes, and a lack of clarity around how data should actually be managed. This course provides a clear and practical introduction to modern Data Management, giving you a solid foundation in the essential technologies that power successful data ecosystems—ETLs, integrations, data lakes, and data warehouses. You’ll learn how these systems connect, support analytics, and solve real business problems.
Beyond the technology, the course walks you through the core pillars of a strong data management operating model. You’ll explore how organizations structure governance, roles, responsibilities, and processes to ensure data remains accurate, accessible, and secure. With real-world examples and simple explanations, you’ll see how effective operating models reduce complexity, increase efficiency, and improve decision-making at every level.
Finally, you’ll dive into practical solution design and modern implementation strategies. From evaluating toolsets to selecting cost-effective systems, you’ll discover how organizations choose the right solutions for their needs—without overspending or overcomplicating their architecture. Whether you’re working with data directly or leading teams that depend on it, this course gives you the clarity, confidence, and strategic insight needed to contribute to successful data initiatives and drive meaningful business outcomes.
Why This Course Stands Out
Breaks down complex data concepts into simple, practical explanations anyone can follow
Covers the full spectrum of modern data management—from technologies to operating models
Helps you understand how real organizations build, govern, and scale their data systems
Designed for busy professionals who want clarity without technical overwhelm
Includes real-world examples that show how data roles, processes, and solutions work in practice
Equips you with the strategic insight needed to support better decision-making in any company
Ideal for both future data leaders and current professionals looking to upgrade their skillset
Enroll now and start building the clarity and confidence you need to excel in modern data management.
Albert Fabritius
I´ve been working in Management Consulting for a few years, switched to line positions in finance after that, and found my passion in Data Management. I own a few certifications in the field (AWS, Azure, Snowflake), covering the technical aspects of data engineering. I work with a team of talented professionals on data science cases. Robust solutions around organizational aspects of data management, such as support and maintenance models, data governance, cost and provider management, and knowledge management round up my profile.