Modern data architecture is crucial for managing critical data resources today and into the future, meanwhile designing and implementing data management architecture becomes increasingly complex as the scope of data and the variety of data use cases grows and expands. The field is filled with buzzwords, like data fabric, data mesh, and data lakehouse, creating a landscape that is theoretically intriguing but pragmatically puzzling.  Adopting new architectural patterns without rethinking existing architecture often results in a patchwork of practices that span from legacy to leading-edge. By rethinking and routinely revising your architecture, you can prevent disparity. 

In this live, online, two-day training, instructor Dave Wells explores and discusses the intricacies of modern data architecture. The course covers both analytical and operational data management, comprehensively addressing architectural use cases from business transactions to AI-based automation. Participants will learn to evolve and implement a data management architecture that supports existing resources, meets current needs, and adapts to future requirements. 

This training is an in-depth data architecture training, as well as a complement workshop to other past, online, DATAVERSITY trainings including Data Architecture Bootcamp, Enterprise Data Architecture: Interoperability of Enterprise Systems, and Implementing Data Fabric and Data Mesh: Data Architecture Beyond the Hype that have occurred over the last few years. 

Two-Day Seminar Price: 

• $1,000 Early Bird Price through October 10, 2025 
• $1,200 after October 10, 2025 

Last day to register: Sunday, October 26, 2025 

Seminar CEUs: 12 
Seminar Date: Tuesday – Wednesday, October 28 - 29, 2025 
Seminar Time: 8 AM – 3 PM, Pacific Time / 11 AM – 6 PM, Eastern Time 

During the two days of this training, attendees will: 

• Gain insights into the differences between operational and analytical data, and learn about data consolidation, synchronization, integration, and interoperability. 
• Discover various operational data management architectures, including data interfaces, operational data stores, operational data hubs, master data management, reference data management, and operational data interoperability. 
• Examine different analytical data management architectures, such as data warehousing, data lakes, data fabric, data lakehouse, modern data warehouse, and data mesh. 
• Understand how to navigate operational data management challenges, such as data sharing, integration, maintainability, adapting to change, aging technologies, technical debt, semantic inconsistencies, data model variations, and hybrid deployments. 
• Learn to achieve operational data management goals, including interoperability, integration, maintainability, adaptability, and semantic consistency. 
• Understand how to overcome analytical data management challenges by supporting all data types, ensuring data freshness, catering to various data use cases, enhancing user experience and self-service, and managing data resources across different platforms. 

Who Should Attend? 

This two-day, live, online seminar is intended for business and IT professionals at all levels, who have been tasked with understanding and implementing data architectures on behalf of their organization. It assumes general business knowledge, but not specific technical knowledge or experience. It is appropriate for executives, departmental and/or project managers, data and enterprise architects, consultants, data scientists, BI professionals, and technical staff.  

The course is not designed for any specific business domain, and as such is applicable to any business function that is in need of more reliable information, such as finance, manufacturing, human resources, analytics, operations, and more. 

Group and team attendance is strongly encouraged because the workshop activities can be applied for your organization’s unique architecture circumstances. Those activities produce results that have immediate application and lasting value for your ongoing architecture efforts. 

We offer several bulk licensing options for corporate and group use. 

Contact us for a follow-up discussion! 

Seminar Format 

• A two-day workshop that includes lecture format over slides with questions either throughout or at the conclusion of each section, breakout sessions, and exercises. 
  • The seminar date is: Tuesday – Wednesday, October 28 - 29, 2025 
  • Seminar time is: 8 AM – 3 PM, Pacific Time / 11 AM – 6 PM, Eastern Time 
• All seminar material will be made available for students to download. 
• DATAVERSITY will be integrating two platforms to run the training: The DATAVERSITY Training Center (DVTC) platform and Zoom. 
• The DVTC Platform is where you will start your training: https://training.dataversity.net 
  • This will be where you will log in, and then click a “Join Now” button on the day of the live training in your course dashboard. 
  • This platform will contain the syllabus for the day, information on navigating through both platforms, enable you to take notes throughout the training, join a forum with your classroom peers to network with each other even after the live online training is over, download materials, and access the recording of the training when it is complete. 
• When you click the “Join Now” button in the DVTC Platform, a Zoom window will open. 
  • This platform is where you will take the training, view the presentation, and engage in breakout sessions.