Many organizations are anchored by legacy data architecture. Last-century data warehousing architecture – with bolt-on features for data lakes, big data, self-service, data science, and other recent developments – doesn’t work well and is not sustainable into a future of ever-expanding analytics capabilities. Early data lake architecture is now a decade old and already outdated. More recent developments have promise but also create uncertainty. Should you adopt data fabric? What about data lakehouse? Modern data warehouse? Or data mesh? And how do you weave existing data management practices and data resources into modern data architecture? Finding the right answers to these hard questions requires a systematic and purposeful approach to data architecture design and implementation.

In this live, online, three-day workshop, instructor Dave Wells explores how modern data architecture is essential for managing critical data resources today and into the future. Data architecture is imperative but challenging, with numerous variables, components, and relationships to consider. There are many questions to address: Where to start? How to organize the pieces? How to describe and explain? How to test and implement? What about existing data assets? Data management is a critical competency for data-driven organizations, and data architecture is at the core of data management success. Designing a modern data architecture is complex, and evolving architecture amidst continuous change is particularly intimidating.

Three-Day Seminar Price:

• $1,500 Early Bird Price through January 17, 2025
• $1,800 after January 17, 2025

Last day to register: Sunday, February 9, 2025

Seminar CEUs: 18
Seminar Date: Tuesday – Thursday, February 11 - 13, 2025
Seminar Time: 11 AM – 6 PM Eastern / 8 AM – 3 PM Pacific

Over three days you will experience, discuss, learn about, and work through:

• An assessment of current data management architecture
• A gap assessment to identify what’s missing in the current data architecture
• Identification of high-level data architecture requirements
• Evaluation and selection of architectural frameworks
• Gathering business capability requirements for the architecture
• Gathering data capability requirements for the architecture
• Designing the data management architecture
• Testing and implementation planning

After three days, some of your “take-homes or deliverables” will include:

• An initial assessment of your current data management architecture and knowledge of how to extend it to become a comprehensive assessment
• A gap assessment to identify architecture needs not met and understanding of how to use the assessment
• A first draft of architectural requirements – both business and data requirements – to initiate collaboration with your stakeholders for full requirements definition
• An architecture diagram that is a first-cut design of data management architecture to meet your current and future needs

Who Should Attend?

This three-day, live, online workshop is designed for data and technical professionals at all levels, who are challenged to close the gap between legacy data architecture and the architectural capabilities needed to manage a modern data and analytics resource. It is appropriate for executives and data strategists, data scientists and data analysts, data and enterprise architects, consultants and technical staff, and professionals looking to get more involved in data architecture for their jobs.

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

The course is not designed for any specific industry or business domain, and as such is applicable to any business organization needing to manage a modern data resource and reliably supply data needed for business intelligence, analytics, and data science.

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

Contact us for a follow-up discussion!

Seminar Format

• A three-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: February 11 - 13, 2025 (Tuesday – Thursday)
  • Seminar time is: 11 AM – 6 PM Eastern / 8 AM – 3 PM Pacific
• 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.