About Data Architecture Online

The annual Data Architecture Online event will cover 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 connect with 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.

Thank you for joining us on July 14th, 2021. If you missed us, register to receive free access to the 2021 recorded sessions!

The Schedule

AGENDA

July 14, 2021

8:00

Trends in Data Architecture

Presented by Donna Burbank

With technological innovation and change occurring at an ever-increasing rate, it’s hard to keep track of what’s hype and what can provide practical value for your organization. Join this webinar to see the results of a recent DATAVERSITY survey on emerging trends in Data Architecture, along with practical commentary and advice from industry expert Donna Burbank.

9:00

The Core Disciplines of Data Modeling

Presented by Chris Bradley

In this session, we will cover a high-level exploration of the different disciplines essential to Data Modeling including:

  • An overview of concepts and types of data models
  • Data Modeling for today’s tools and technologies
  • Best practices and next steps to becoming a Data Modeling expert
  • 10:00

    Data Architecture Is Data Governance

    Presented by Robert S. Seiner & Anthony J. Algmin

    Data Architecture and Data Governance are the same thing! Aren’t they? Most people would say that this line of thinking is absurd — or even worse. There is NO WAY that they are the same thing. Or are they?

    In this session, Bob and Anthony will discuss:

  • The similarities between Data Architecture and Data Governance
  • The differences between the two
  • How to use Data Architecture to sell Data Governance … and the other way around
  • Deciding if the two disciplines are the same … or different
  • 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.

    11:30

    Keynote: Taking the Lead on Data — The Importance of Data Leadership and Words

    Presented by John Ladley & Laura Sebastian-Coleman

    A few years ago several influencers in the data world got together to declare a manifesto: that data is key to organic growth and improvement of the human condition, but we have a long way to go (dataleaders.org/manifesto/read-manifesto).

    Since then this group has grown and is now providing tools and insight into the data industry. Along the way they discovered the importance of moving away from just technical data leaders and getting in front of organization leadership to make them data leaders.

    But this is not easy. Words matter, and we struggle to get engagement. Please join this session as members of the Leaders Data Organization (LDO) present why your words and communications are important, and what you need to do. In addition, we will provide an update on the research and current tools we offer as well as others in the pipeline.

    12:30

    Data Lakes — The Good, the Bad, and the Ugly

    Presented by Uzma Khan

    In this session we will discuss Boeing’s journey of building a data lake.

    We will cover:
  • Motivation for creating the lake
  • The architecture and technology stack used to create the lake
  • Successes and failures

  • What you'll learn:
  • Framework overview
  • Security and access in Hadoop
  • Data structure

  • 1:30

    Modeling Patterns for Strategic Business Data Analysis Using Knowledge Graphs

    Presented by Elisa Kendall & Dean T Allemang

    Knowledge graph technology enables question answering across data silos at scale. In order to provide an understanding of the data and explain the results returned by complex queries, machine learning, and other applications, a common vocabulary is essential.

    Industry-standard models are often criticized due to their complexity, including significant breadth and depth. This is a consequence of the unique position that an industry-level ontology plays with respect to other data models. In short, an industry ontology has to anticipate a wide range of design options in enterprise data models – and include elements that reflect those options – to mediate viewpoints.

    How can an industrial ontology manage this complexity and make it usable at an enterprise level? Through modeling patterns that allow for the range of variation required while allowing the model to be understandable and applicable to enterprise data modelers.

    We illustrate some of these patterns and this effect with specific examples from FIBO (Financial Industry Business Ontology) mappings to enterprise data models. Lessons learned in developing and using these patterns not only in finance, but for automotive, retail, pharmaceutical, and industrial applications, provide a level of confidence in their general applicability.

    Official 2021 DAO Sponsors

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

    Become a Sponsor

    FAQ

    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.

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