About Data Architecture Online

On July 15th, 2020, between 8:00 am and 2:30 pm Pacific Time, DATAVERSITY hosted Data Architecture Online (DAO). Thanks to our attendees, speakers, and sponsors for making this another great event! This educational program was designed to explore the key strategies and technologies you need to know in order to build and manage your Data Architectures. Presentations focused on Data Architecture, metadata, governance, Data Modeling, cloud integration, new trends, and much more. Save the date and join us next year on July 14th, 2021 for another day of exciting presentations!



July 15, 2020


Data Architecture and Lifecycle Management

Presented by Chris Bradley

This educational session provides an overview of Data Architecture, Enterprise Architecture, and Lifecycle Management. Industry professional Chris Bradley will discuss types of architectures, including proactive planning around the data lifecycles from inception and acquisition through provisioning, exploitation, and destruction. The data value chain, differences between lifecycles and systems development, and alignment with business models are also important components of this discussion.

In this session, you will:
  • Learn about many types and structures of Enterprise Architecture
  • Explore architecture frameworks
  • Discuss Information Lifecycle and SDLC comparisons and differences
  • Understand where these data disciplines sit within the greater ecosystem and how they benefit business outcomes
  • 9:00

    Metadata Management from Technical Architecture & Business Techniques

    Presented by Donna Burbank

    Metadata provides context for the “who, what, when, where, and why” of data, and is of critical interest in today’s data-driven business environment. Since Metadata is created and used by both business and IT, architectural and organizational techniques need to encompass a holistic approach across the organization to address all audiences. This live online session provides practical ways to manage Metadata in your organization using both technical architecture and business techniques.


    Data Architecture and Governance in a Rapidly Changing World

    Presented by Anthony J. Algmin

    Data challenges are tough to solve even when times are good, and our people are all in the same room. It’s no easier to do when times are tough. But the stakes are higher, as are the consequences. For any organization to be successful in today’s data-driven world, the use of data must lead to meaningful and measurable improvements in business outcomes.

    Businesses need to use everything they’ve got to become successful, and data is one thing we all seem to have in abundance. Having strong Data Architecture helps us make the most of our data. This webinar outlines the ways Data Architecture can complement Data Governance, whether on-premises or off.

    Key learnings include:
  • Why Data Governance was already struggling, and how Data Architecture can help
  • How the Data Architect’s role is evolving now
  • Data Architecture to govern data in a virtual world
  • Tips on becoming and remaining relevant as a Data Architect in the future
  • 11:00

    30-Minute Break

    Time to take a break, refill your coffee, have a snack, reply to some emails, or just stretch your legs a bit. We'll be back with our Keynote at 11:30 AM PT.


    Keynote: Trends in Data Architecture

    Presented by George Yuhasz

    Join George Yuhasz, the VP Head of Enterprise Data at NewRez, as he discusses what’s happening in the world of Data Architecture now and into the future. In this keynote, George will utilize his vast experience and expertise from a career of creating and implementing Data Management initiatives to review:

  • The Current Landscape of Data Architecture
  • Common Business Imperatives
  • Technical Enablement and Aligning Org/Culture Type Challenges
  • Opportunities (Methods of Delivering for Small/Mid/Large Companies)
  • 12:30

    Cloud Hybrid Data Integration Architecture

    Presented by April Reeve

    Moving data between systems and integrating data across the organization has remained one of the primary Data Management challenges over the last two decades, now being greatly exacerbated by the challenges of between and across cloud technology. This presentation will review new technologies and techniques for managing data roaming through the organization and in the cloud.

    This session will answer and inform attendees on the following topics:
  • What is Modern Data Integration?
  • The Natural Complexity of Interfaces
  • An Overview of Standard Data Integration Patterns – ETL, ELT, SOA, ESB, EAI, EII
  • Cloud Data Integration
  • On-premise, Private Cloud, Public Cloud, SaaS (Vendor), Hybrid
  • Why not use my Enterprise Service Bus?
  • Integration Platform as a Service (iPaaS)
  • Cloud to Cloud Integration
  • Hybrid Cloud Integration
  • 1:30

    Chasing Phantoms in Your Data? You Need a Concept Model!

    Presented by Ronald G. Ross

    What messes up your data so badly? Why is data pollution so common? Are business users and data professionals spending way too much time chasing phantoms around in your data?

    Poor models make data corruption inevitable. It’s time to rethink old habits and pursue approaches better suited for the knowledge economy. The solution is concept models, which base their structure on language and communication. This presentation surveys the three fundamental techniques of concept models: classification, categorization, and verb concepts. It shows you how to capture the business meaning of data by creating a structured business vocabulary and common business language.

    Whether your concern is Data Quality or consolidation, better data design, eliminating silos, preparing for Artificial Intelligence (AI) and Machine Learning (ML) for text, or simply communicating business knowledge more effectively, you need to know how to create a concept model. This presentation shows you how.

    Learning Objectives:
  • Getting at hidden knowledge in business people’s heads and creating shared understanding
  • Knowing how to avoid rampant type codes
  • Testing your model for clarity and precision
  • Escaping all technical bias and truly speaking ‘business’
  • Avoiding deep-seated ambiguity in all forms of business communication
  • Based on Ron’s newly released book: Business Knowledge Blueprints: Enabling Your Data to Speak the Language of the Business

    2020 Sponsors

    Interested in sponsoring this online event in 2021? Contact Warwick Davies by email: warwick@dataversity.net or phone: 1-781-354-0119.

    Become a Sponsor


    Here are a few good reasons why you should register:
  • Registration is free
  • There are six, 40-minute webinars
  • Learn from the best in the industry
  • Experience-based learning
  • Access to all recorded sessions, slides, and materials presented
  • Live Q&A following each webinar session
  • No, you do not need to pay anything to watch the live sessions presented during this event. When you register, we also give you free access to the on-demand recordings a couple of days after the event.
    It's OK if you can't attend the live event. Register and you will get access to the recordings of all the presentations and links to download the slides.
    Yes, we produce several face-to-face events around the country. DATAVERSITY is home to many educational events, online training options, webinars, white papers, articles, and blogs. We're proud to offer the worldwide data community so many educational opportunities both online and face-to-face. To learn more about what we do, visit dataversity.net.
    DATAVERSITY Education, LLC is an educational and publishing resource for business and Information Technology (IT) professionals on the uses and management of data. Our team strives to provide high-quality educational resources to our worldwide community of practitioners, experts, and developers who participate in and benefit from face-to-face hosted conferences, live webinars, white papers, online training, daily news, articles and blogs, and much more. Visit dataversity.net to learn more.

    Contact Us

    Copyright © 2020 DATAVERSITY Education, LLC. All Rights Reserved.


    1 (310) 337-2616