Upcoming Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures
23 September 2025
10:00am ET | 3:00pm London | 4:00pm CET
Duration: 50 Minutes
The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh.
This webinar, part of the A-Team Group’s TradingTech Insight series, will offer a clear-headed analysis of these critical approaches. We will move beyond the buzzwords to focus on practical application within the capital markets.
Join our panel of industry experts to discuss how trading firms can apply Data Fabric to unify data access and adopt Data Mesh to decentralise ownership and foster innovation. The session will focus on real-world implementation, exploring how these models operate, where they complement each other, and the requirements for successful integration.
What the webinar will cover:
- Core Concepts: Differentiating Data Fabric and Data Mesh, and understanding their respective strengths and synergies.
- Strategic Application: Frameworks for determining when and where to apply each model in a trading architecture.
- Future-Readiness: How these models provide a foundation for AI, advanced analytics, and future trading technologies.
- Implementation Challenges: A frank discussion of common pitfalls and best practices for deployment at scale.
- Lessons from the Field: Practical insights from organisations that are moving beyond traditional data strategies.
This session is designed for technology and data leaders within financial firms, including: CIOs, CTOs, Heads of Data Architecture, Infrastructure Leads, Trading Systems Architects, and Data Engineering & Analytics Teams.
Register now to join this timely and practical discussion.
Speakers:
David McLennan
Head of Data Platforms | Microsoft Partnership
LSEG
Moderator: Mike O’Hara
Editor, TradingTech Insight
A-Team Group
More about our speakers:
Maxim Morozov
Head of Engineering ArcticDB
Man Group
Head of ArcticDB Engineering at Man Group. He joined Man Group in 2024, having previously led multiple engineering departments at Bloomberg, Amazon, and Google. Prior joining ArcticDB, Maxim ran his own startup focused on business process automation using AI. He holds degrees in Computer Science and Economics.
Sri Bhupatiraju
VP, Senior AI Engineer
BlackRock AI Labs
Sri Annapurna B. is VP and Senior AI Engineer at BlackRock AI Labs, where she leads strategic initiatives across AI infrastructure, services, and product architecture – driving platform innovation, overseeing technical execution, and influencing firmwide AI strategy with a focus on scalable, high-impact AI solutions.
David McLennan
Head of Data Platforms | Microsoft Partnership
LSEG
David brings 25 years of industry experience with deep expertise in distributed transaction processing, lakehouse and event-driven architectures, and Information as a Service at scale. At Goldman Sachs, he led the implementation of the Quantum Data and Service Platform, expanded the data science and machine learning platform to include LLM training and inference, and spearheaded the cloud migration of the communication retention platform. For the past two years, David led the Concert Platform, standardising the firm’s Order Management and Asset Transfer solutions with improvements like dynamic elasticity and cloud adoption. He is passionate about data-driven decisions through observability and the power of partnerships. Outside of work, David enjoys being a father, spending time with his wife, flying and paragliding.
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