DAB0926: Data Architecture Bootcamp: Practical Exercises in Architecture Design

In this live, three-week online workshop, Dave Wells, data management thought leader and industry educator, guides you through the process of designing and evolving a modern data architecture. You’ll assess your organization’s current environment, identify gaps, and develop a working architecture model that balances business needs, technology choices, and governance practices for long-term scalability.

The Data Architecture Bootcamp: Practical Exercises in Architecture Design is a three-week, live, online workshop designed to help data and technology professionals bridge the gap between legacy systems and modern, scalable data architectures.

Led by Dave Wells, a leading voice in data management education, this workshop provides a structured, practical approach to understanding, designing, and implementing the data architecture your organization needs to thrive in a fast-changing analytics landscape.

Modern data architecture is both essential and complex. Many organizations struggle with outdated frameworks—traditional data warehouses and early data lakes that were never designed to support today’s demands for real-time analytics, self-service, machine learning, and cloud integration. Meanwhile, new models such as data fabric, data lakehouse, and data mesh offer exciting potential—but also raise new questions about governance, interoperability, and sustainability.

This course provides the frameworks, tools, and working sessions you need to move from uncertainty to action. Through guided lectures, breakout discussions, and collaborative exercises, you’ll assess your current environment, identify capability gaps, and design an architecture aligned with both business and data management requirements. You’ll also gain practical insights into how to test, communicate, and evolve your architecture to meet future needs.

By the end of the three weeks, you’ll take home:

  • An initial architecture assessment and a process for expanding it into a comprehensive evaluation
  • A gap analysis outlining what’s missing and what needs to evolve
  • A draft of high-level requirements (both business and data) to guide stakeholder collaboration
  • A first-cut architecture diagram tailored to your organizational context

This course is not limited to any one industry or domain, it’s designed for data and technical professionals, executives, strategists, and consultants who are responsible for advancing data management capabilities in modern organizations.

Group and team attendance is strongly encouraged, as exercises are applied directly to each organization’s unique context, generating results that provide both immediate value and a roadmap for ongoing architectural improvement.

Program Highlights

Over three weeks of live, hands-on instruction, you’ll:

  • Assess your current data architecture and identify critical gaps
  • Learn how to define business and data capability requirements
  • Evaluate architectural frameworks such as data mesh, data fabric, and data lakehouse
  • Explore how to modernize legacy architectures for analytics, AI, and evolving data ecosystems
  • Draft a data architecture design customized to your organization’s goals
  • Create a practical implementation and testing plan to move from concept to action

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

  • Conduct a structured assessment of existing data architecture
  • Define architectural goals aligned with business and data strategy
  • Compare and apply modern architectural models and technologies
  • Design and diagram a high-level architecture suited for your organization
  • Plan next steps for implementation, communication, and stakeholder buy-in

How the Course Works

This three-week, instructor-guided online course combines instructor-led lectures, collaborative exercises, breakout discussions, and Q&A sessions to help you apply concepts in real time.

During the live sessions, you’ll experience:

  • Interactive lectures with live discussion and Q&A led by your instructor
  • Hands-on breakout sessions and applied group exercises
  • Quizzes, templates, or practice questions aligned to course topics
  • Continued access to recordings and resources after course completion

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

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: Tuesdays, September 15, 22, and 29, 2026
  • Time: 11 AM – 6 PM Eastern / 8 AM – 3 PM Pacific
  • Length: 3 Weeks
  • CEUs: 18

Pricing:

  • $1,500 Early Bird (through September 28, 2026)
  • $1,800 Regular Price (after September 28, 2026)

Registration Deadline: Sunday, September 13, 2026

Why Choose This Data Architecture Bootcamp

  • Led by Dave Wells, one of DATAVERSITY’s most respected educators in data management architecture and analytics strategy
  • Built around hands-on exercises and real-world case studies to make concepts immediately actionable
  • Explores the latest architectural models such as data mesh, data fabric, data lakehouse, and modern warehouse, with a practical, framework-first approach
  • Equips you to deliver tangible artifacts: architecture assessments, diagrams, and requirements documentation ready for stakeholder review
  • Designed for both individuals and teams looking to modernize data ecosystems and strengthen architectural competency

Is This Course Right for You or Your Team?

This course is ideal for:

  • Data and enterprise architects tasked with evolving legacy systems
  • Data strategists, analysts, and consultants defining or implementing architecture initiatives
  • Executives and technology leaders planning data modernization efforts
  • Teams seeking a shared framework for defining and improving architecture across departments

No specific technical prerequisites are required, only familiarity with data management concepts and a desire to translate them into sustainable architecture.

Private Team Training

Organizations can host private sessions or purchase bulk licenses for internal teams.
Private training can include tailored discussions, organizational architecture reviews, and guided workshops designed around your company’s data landscape.
Contact us to discuss enterprise training options and scheduling.

Contact us to explore corporate training options or bulk licensing.

Backed by Industry Leaders

This workshop is developed and delivered by DATAVERSITY, the trusted authority in data management education for more than a decade.

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

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