About Data Architecture Online

The annual Data Architecture Online event covers key strategies and technologies you need to know in order to build and manage a modern Data Architecture. Tap into the combined expertise of several industry-leading professionals and hundreds of data peers during this day of live, webinar-style sessions.

Registration is free and gives you access to the sessions presented throughout the day, the live Q&A with the speakers, and all recorded presentations and materials.

The Schedule


July 17, 2019


Data Architect vs. Data Modeler vs. Data Engineer

Presented by Mike Bowers

Whether by choice for reasons of profitability or because of emerging privacy laws, more and more companies are becoming aware of the important role data plays in their overall business practices. As a result, we are seeing more demand and the continuing creation of Data Management personnel roles along with entire Data Management divisions within the organizations. So who should companies hire as they expand? What’s the difference in responsibility between a Data Architect, a Data Modeler, and a Data Engineer?


Data Architecture and Data Governance for Practical Quick Wins

Presented by Donna Burbank

Data Governance can have a varied definition, depending on the audience. To many, Data Governance consists of committee meetings and stewardship roles. To others, it focuses on technical Data Management and controls. Holistic Data Governance combines both of these aspects, and a robust Data Architecture and associated diagrams can be the “glue” that binds business and IT governance together. Join us for this session where we will uncover practical tips and hands-on exercises for aligning Data Architecture and Data Governance for business and IT success.

  • Data Governance and Data Architecture overview
  • Data Architecture for business-centric governance
  • Data Architecture for IT-centric governance
  • How to build quick wins through Data Architecture and Governance
  • Case studies


Aligning Data Architecture with Data Strategy

Presented by Peter Aiken

Which comes first, your Data Architecture or your Data Strategy? Conventional business-school wisdom says that strategy always comes first, and certainly, that is the ideal, but unless you have the luxury of starting from scratch with your Data Architecture, then you probably have to "work with what you have," at least for a while. And yet the difficulty of implementing new data initiatives often goes under-appreciated, particularly the common organizational readiness and core competence challenges facing most organizations. Beyond that, there are common cultural and structural barriers that must be eliminated in order to leverage data effectively. This talk will discuss these barriers, how to overcome them, and how to get your strategy and architecture into alignment.


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: The Future of Data Architecture

Presented by Anthony Algmin

Last October, Anthony led a live panel discussion on the future of Data Architecture for the closing keynote at DATAVERSITY's Data Architecture Summit conference. At the end of four days of Data Architecture education on the latest trends, technologies, and best practices, Anthony asked his panel of experts what it all meant for the future. Now, he will explore whether those thoughts have been confirmed over the last few months, and what is still changing in the future of Data Architecture.

Some of the anticipated questions he will cover are:

  • Are the boundaries of Data Architecture expanding or shrinking?
  • What about the role of Data Architects – are they changing?
  • What's the relationship between Data Architecture and Data Governance?
  • What's the role of these technologies in the future of Data Architecture?
    • Artificial Intelligence and Machine Learning
    • Blockchain and distributed ledger technology
    • Data-Centricity
    • Ontologies and Graphs
    • Cloud
    • Stream Processing


The Power of Knowledge Graphs

Presented by Elisa Kendall and Deborah L. McGuinness

Google has popularized the notion of a Knowledge Graph, loosely defined as a network of entities and their interrelationships. While the phrase has become popular recently, and in some ways appears to be everywhere, semantic networks and supporting semantic technologies have existed for many decades. We may, however, be at a tipping point in the field with the combination of an explosion in big open data collections and significant advances in data mining and Machine Learning techniques. Now, many more organizations are deploying Big Data applications and are trying to make sense of their results. In this talk, we will introduce some trends we see in Knowledge Graphs through examples of complex, integrated systems. We will discuss some potential avenues for growth, and ways that Knowledge Graphs are becoming essential components in current and potential Artificial Intelligence and Data Science applications that need to expose their methods and explain their results.

The Sponsors

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

Become a Sponsor


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.

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