Analytical Data Modeling Training (Virtual)

DAMA Philadelphia is hosting a virtual, one-day professional development training focused on modern data modeling strategies for analytics and integration in today’s diverse data environments.

This immersive seminar blends practical guidance, real-world examples, and exercises to help data professionals and architects design scalable, high-performance data models across relational, NoSQL, and big data platforms.

📅 Jan 21, 2026
🕘 9:00 AM – 4:00 PM
💻 Zoom (Virtual)

Who this training is for

This session is an ideal next step if you already understand foundational normalized relational data modeling and want to expand your skills for analytics and integration use cases in modern ecosystems (big data, data lakes, and NoSQL).

What you will learn

Participants will cover key approaches and trade-offs commonly required in analytical and integration solutions, including:

• Relational modeling and normalization (review)

• Dimensional modeling for high-volume analytics (data warehousing and data marts)

• Multidimensional modeling and cubes for high-speed analytics and reporting

• Denormalization trade-offs to improve read performance across relational databases, big data platforms, flat files, and the data lake

• Messaging and integration modeling with canonical models using UML and JSON for system interoperability

Register

Reserve your spot using the registration link below: