Modern organizations depend on complex data ecosystems that span transactions, analytics, and artificial intelligence. Yet most architectures evolve piecemeal, creating silos, inconsistencies, and barriers to data-driven innovation.

The Data Architecture Intensive: Unifying Operational, Analytical, and AI Data provides a practical framework for integrating these domains. Over two days, you’ll explore how to design, assess, and evolve your architecture to meet current and future demands.

Led by Dave Wells, this intensive program goes beyond buzzwords like data fabric, data mesh, and data lakehouse to help you build an adaptable, scalable, and sustainable architecture. You’ll analyze the unique challenges of operational, analytical, and AI data management—and learn to bring them together into a cohesive whole.

Through interactive sessions and guided exercises, you’ll:

• Examine architecture foundations and the distinct characteristics of operational, analytical, and AI data
• Identify interoperability and synchronization strategies for hybrid data ecosystems
• Explore architectural options for integration, traceability, and data sharing
• Discuss how AI architectures, including feature stores, model registries, and vector databases, fit into enterprise architecture
• Assess your organization’s architecture maturity and outline a roadmap for improvement

By the end of the course, you’ll have the insights and tools to move from fragmented systems to a connected, agile data architecture that supports analytics, governance, and AI initiatives.

Program Highlights

Over two days of immersive learning, you’ll:

• Understand the core components of modern data architecture frameworks
• Compare and connect operational, analytical, and AI data management architectures
• Evaluate design patterns such as data lakehouse, data mesh, and data fabric
• Learn to identify and resolve technical debt, semantic inconsistency, and legacy challenges
• Explore essential AI architecture components including feature stores, model registries, and knowledge graphs
• Define architecture goals for adaptability, scalability, and data interoperability
• Participate in hands-on assessments and breakout discussions that reveal improvement opportunities

By the End of This Course, You’ll Be Able To:

• Analyze and design data architectures that unify operational, analytical, and AI data
• Evaluate architecture trade-offs and select the right design patterns for your organization
• Identify common architecture challenges and strategies for modernization
• Integrate AI systems and data pipelines within existing architecture frameworks
• Define actionable goals for scalability, governance, and performance
• Build a roadmap for continuous architecture evolution and improvement

How the Course Works

This two-day, live online intensive combines instructor-led lectures, group discussions, and practical breakout sessions led by Dave Wells. Each segment builds on real-world data architecture examples to reinforce understanding and application.

During the live sessions, you’ll experience:

• Instructor-led discussions and real-world case examples
• Hands-on breakout exercises to assess and redesign data architectures
• Interactive Q&A with Dave Wells
• Access to architecture assessment templates and frameworks
• Continued access to recordings and course materials after completion

You’ll participate through the DATAVERSITY Training Center (DVTC) and Zoom, which together provide seamless access to course materials, sessions, and discussions.

Start your training in the DVTC platform:

• Log in at DATAVERSITY Training Center to access your dashboard, syllabus, and daily agenda.
• On the day of training, click “Join Now” to launch the live Zoom session.
• Use the platform to take notes, download slides, and connect with your peers in the class forum.

Once in Zoom, you’ll join live instruction, view presentations, and engage directly in breakout activities with your instructor and classmates.

Schedule:

• Dates: Wednesday–Thursday, April 29–30, 2026
• Time: 8 AM – 3 PM Pacific / 11 AM – 6 PM Eastern
• CEUs: 12

Pricing:

• $1,000 Early Bird (through April 10, 2026)
• $1,200 Regular Price (after April 10, 2026)

Registration Deadline: Monday, April 27, 2026

Why Choose This Course

• Led by Dave Wells, a respected expert in data architecture, analytics, and information strategy
• Integrates operational, analytical, and AI data into one cohesive architecture framework
• Focuses on real-world application, not just conceptual models
• Helps teams identify gaps, eliminate silos, and prepare for emerging technologies
• Provides templates and assessment tools to use in your own environment

Is This Course Right for You or Your Team?

This course is ideal for:

• Data and enterprise architects leading modernization or AI integration efforts
• Data managers and strategists aligning governance and architecture
• Analytics leaders and AI practitioners seeking to connect data foundations to model success
• Project leaders and consultants guiding enterprise architecture initiatives

No advanced technical background is required, just familiarity with organizational data systems and a desire to build architectures that scale for analytics and AI.

Private Team Training

Organizations can schedule private sessions or team cohorts to align architecture strategy across departments. Private sessions include group assessments, tailored exercises, and instructor feedback.

Contact us to explore corporate training options or bulk licensing.

Backed by Industry Leaders

Delivered through the DATAVERSITY Training Center (DVTC), this intensive brings together the proven methods of modern data architecture and the emerging demands of AI. It equips professionals to unify data across domains, ensuring that architecture serves as the foundation for analytics, governance, and innovation.

It forms part of DATAVERSITY’s growing portfolio of Bootcamps, Intensives, Accelerators—practical, immersive training experiences that help organizations operationalize modern data practices.