DataMesh & DataFabric Boot Camp

As businesses strive to advance digital transformation efforts, legacy processes and architectures can be a significant obstacle to enabling the agility required to succeed in today’s ever-changing data landscape. Many enterprises struggle with scaling the delivery of data and analytics to accommodate the growing array of data domains, users, and use cases. As a result, data mesh and data fabric architectures are on the rise with the goal of abstracting data management complexity, increasing data availability, and fostering greater collaboration. At DataMesh and DataFabric Boot Camp, you’ll hear about the essential supporting technologies, strategies, real-world success stories, and how to get started on your journey.

Designed for chief information officers, chief data officers, enterprise architects, data architects, data engineers, data scientists, and data management and analytics professionals.

Access to the DataMesh & DataFabric Boot Camp is included when you register for a All Access or Full Two-Day Conference Pass or as a stand alone registration option. View all our registration options here.

Wednesday, May 10


Located in Grand Ballroom B

Welcome & Keynote: The World According to Data

08:45 AM2023-05-102023-05-10

Wednesday, May 10: 8:45 a.m. - 9:30 a.m.

AI and the internet are transforming our understanding of how the future happens, enabling us to acknowledge the chaotic unknowability of our everyday world.

Back when we humans were the only ones writing programs, data looked like the oil fueling those programs. But now that machines are programming themselves, data looks more like the engine than its fuel. This is changing how we think about the world from which data arises, and that data is now shaping as never before. We’ve accepted that the intelligence of machine intelligence resides in its data, not just its algorithms—particularly in the countless, complex, contingent, and multidimensional interrelationships of data. But where does the intelligence of data come from? It comes from the world that the data reflects. That's why machine learning models can be so complex, we can't always understand them. The world is the ultimate black box. Weinberger looks at the implications of this for people who work with data.


, Harvard's Berkman Klein Center for Internet & Society and Author, Everyday Chaos, Everything is Miscellaneous, Too Big to Know, Cluetrain Manifesto (co-author)


Sponsored Keynote: How iRobot Drives Data Trust at Scale With Data Observability

09:30 AM2023-05-102023-05-10

Wednesday, May 10: 9:30 a.m. - 9:45 a.m.

iRobot, the leading global consumer robot company, designs and builds thoughtful robots and intelligent home innovations that make life better for customers across the globe. With over 50 million units sold worldwide, iRobot relies on accurate, highly reliable data to drive decision making and power operations across the business to fuel their explosive growth. Leber discusses why and how the team invested in data observability with Monte Carlo to improve data quality across the business and help its company maximize the potential of their data.

Sponsored by

Monte Carlo Logo


, Principal Data Software Engineer, iRobot


Sponsored Keynote: The Art of the Possible With Graph Technology

09:45 AM2023-05-102023-05-10

Wednesday, May 10: 9:45 a.m. - 10:00 a.m.

Are you drowning in data but lacking in insight? Eighty percent of business leaders say data is critical in decision-making, yet 41% cite a lack of understanding of data because it is too complex or not accessible enough. Companies are using graph databases to leverage the relationships in their connected data to reveal new ways of solving their most pressing business problems and creating new business value for their enterprises. Mohr shows real-world use cases that include real-time recommendations, fraud detection, network and IT operations, AI/ML, supply chain management, and more.

Sponsored by

Neo4j Logo


, Regional VP, Neo4J


Wednesday, May 10

Track C: Data Mesh & Data Fabric Boot Camp

Richard Huffine, Assistant Director, Enterprise Information & Records, Federal Deposit Insurance Corporation
Located in Plymouth

C101. Overcoming Big Data Silos With Data Mesh

10:45 AM2023-05-102023-05-10

Wednesday, May 10: 10:45 a.m. - 11:45 a.m.

Data silos continue to impede access to needed information. Solutions are on the horizon.

Data Mesh Is Not Only an Architecture

With a 133-year history, Northern Trust has a backbone of IT infrastructure built decades ago, when on-premises solutions dominated the technology landscape. Due to the complexity of global regional regulatory requirements and the limitations of legacy systems, valuable data assets are maintained and isolated only in online transactional processing (OLTP) databases. The company faced challenges in data sharing, management, and governance in supporting enterprise-level analytics projects to meet business needs and growth. A digital modernization initiative took place that had a data mesh ecosystem as a critical component, leveraging cloud services on Azure and other modern technologies.


, SVP -- Data Mesh, Shared Services, IT, Northern Trust Corp.

, VP, Head, Enterprise Data Delivery, Northern Trust Corp.


C102. Implementing a Data Fabric

12:00 PM2023-05-102023-05-10

Wednesday, May 10: 12:00 p.m. - 12:45 p.m.

Enable your data team to get the most value from their time and quickly deliver needed business insights through a next-generation data fabric methodology.

Next-Generation Data Fabric Methodology

MacWilliams introduces a technology agnostic methodology that solves the common challenges facing data teams and focuses on the processes among technologies—on-board data faster, flex automatically when data changes, create solutions that are manageable across technologies, and provide the foundation to be able to monitor and maintain your data fabric for the future. The methodology integrates with already existing technologies. Starting with the end in mind, MacWilliams covers how to best monitor and maintain your platform, how to maximize data team capacity, how to utilize meta-data to streamline your team’s development, and where to build custom and leverage modern technologies.


, Director, West Monroe


C103. Scaling & Managing a Cloud Data Ecosystem

02:00 PM2023-05-102023-05-10

Wednesday, May 10: 2:00 p.m. - 2:45 p.m.

Moving to the cloud is now a normal function but presents interesting new challenges.

Why Operationalizing Data Mesh Is Critical for Operating in the Cloud

As companies look to scale, they face new and unique challenges related to data management in the cloud. Data mesh offers a framework and a set of principles that companies can adopt to help them scale a well-managed cloud data ecosystem. Learn how Capital One approached scaling its data ecosystem by federating data governance responsibility to data product owners within their lines of business and hear how companies can operate more efficiently by combining centralized tooling and policy with federated data management responsibility.


, Senior Director, Product Management, Capital One Software

Achieve Better Data Quality With Data Warehouse Observability

Making sense of all your input data isn’t fun, especially when consuming inputs from 10s to 1,000s of data sources daily. If your data teams are orchestrating massive amounts of data across multiple data pipelines, it’s nearly impossible to feel confident in the data quality within your data warehouse. Instead of retroactive data monitoring, it’s time for a more proactive approach to ensure better data quality for your warehouse.


, CMO, IBM Databand


C104. Viewing Data Fabric and Data Mesh as Complementary

03:15 PM2023-05-102023-05-10

Wednesday, May 10: 3:15 p.m. - 4:00 p.m.

New technologies can transform companies’ data journeys.

Data Fabric or Data Mesh? Find the Happy Medium

Data fabrics and data meshes are promising paradigms for helping organizations on their data journeys. Data fabric is a new approach complementing the existing infrastructure and data management technology, accessing the data on demand as it’s needed by the consumers of the data, with centralized metadata and governance. Data mesh accesses the data on demand, providing the metadata and governance capabilities at the edges of the organization, where the data resides, enabling agility and autonomy throughout the organization. While much of the conversation around data fabrics and data mesh has been primarily about which approach or architecture is “better,” Fried discusses how the real value of these concepts isn’t rooted in an “either/or” approach and why they must be viewed as complementary.


, Director, Platform Strategy and Innovation, InterSystems


C105. Rethinking Your Architecture for Data Mesh Success

04:15 PM2023-05-102023-05-10

Wednesday, May 10: 4:15 p.m. - 5:00 p.m.

Data architectures tend not to be static and new approaches are always welcome.

Enabling Data Mesh With Event-Driven Data Architecture

The concept of data mesh has resonated strongly with both data professionals and the broader engineering community. Loose coupling, enablement of federated development, and data sharing ease the difficulty of data management in both large and small organizations, as well as bringing data systems closer to parity with modern microservice-based systems. Cordo explores how the adoption of an event-based data architecture can enable an organization's sustainable transition to data mesh. This includes an overview of event-based architecture, architectural patterns for event-based data systems, and organizational considerations.


, CEO/Founder/Builder, Data Futures, LLC

Wednesday, May 10

Networking Reception


Networking Reception in the Data Solutions Showcase

05:00 PM2023-05-102023-05-10

Wednesday, May 10: 5:00 p.m. - 6:00 p.m.

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