Data Mesh and Data Fabric (Panel)

The concepts and practices of Data Mesh and Data Fabric are today’s hot topics in data management. They actually describe two different concepts, though they overlap in part, and though often confused, they can be complementary technologies and approaches. Data mesh represents an organizational approach toward data that applies four principles—domain ownership, data as a product, self-service data, and federated automated governance. A data fabric layer helps a data engineer explore the data, while keeping it secure and governed. This way unique insights can be derived that can help you improve your relationship with the customer and create new meaningful business products.

This panel discussion will compare and contrast the two approaches. We’ll explain how they overlap and differ. We’ll also talk about the factors to look at if you are considering adoption.

• What are the differences and similarities between data mash and data fabric?
• Why are they attracting so much attention the industry and why should you care? What is the value proposition for each? 
• What are critical components or success factors you need to consider? Are there risks?
• Governance and quality requirements
• What lessons have been learned thus far from customers who have adopted these approaches?

Speakers:

John O'Brien, Radiant Advisors

John O’Brien is the Principal Advisor and Founder of Radiant Advisors. He has a unique perspective on enterprise data and analytics strategies and architecture gained from over 35 years of experience as a practitioner, vendor CTO, and industry analyst. As a recognized thought leader in data strategy and analytics, John has been publishing articles and presenting at conferences in North America and Europe for 20 years. His knowledge in designing, building, and evolving modern data platforms and teams brings real-world insights to each role and phase within a data program. Today, John provides advisory services and mentoring for CIOs/CDOs, and data architects to guide their companies in meeting the demands of next-generation information management, architecture, and emerging technologies.

Donna Burbank, Global Data Strategy, Ltd.

Donna Burbank is a recognized industry expert in information management with over 25 years of experience helping organizations enrich their business opportunities through data and information. She is currently the Managing Director of Global Data Strategy, Ltd., where she assists organizations around the globe in driving value from their data. She has worked with dozens of Fortune 500 companies worldwide in the Americas, Europe, Asia, and Africa and speaks regularly at industry conferences. She has co-authored several books on Data Management and is a regular contributor to industry publications. She can be reached at [email protected], and you can follow her on Twitter at: @donnaburbank.

Jay Piscioneri, Eckerson Group

Jay has over 25 years of experience in data technologies including data warehousing, business intelligence, Data Quality, and Data Governance. He's worked with organizations in a wide variety of industries helping them plan and build their next-generation data platforms. As a leader of many initiatives, Jay brings extensive experience in the nuts-and-bolts of implementing data solutions, as well as the organizational challenges that go with adopting new priorities, processes, and tools.

Oana Turbatu, ING Hubs

Oana has been active in the Data Management industry for more than 6 years now. Having occupied different roles -  from Data Modeler to her current position of Feature Engineer - she always aims to deliver high-quality solutions and doesn’t back down from a challenge. Her personal assets are built around a strong drive and motivation, high energy, and sincere engagement. In her free time, she enjoys hiking any hill that's out there and playing with her dogs.