Big Data London 2025: Essential Data Observability Sessions
- BearingNode Marketing Team
- Sep 16
- 3 min read
We're excited to be attending Big Data London this year! Eddie and I will be there, and we can't wait to connect with the data community and explore the latest developments in data observability.
Why Data Observability Matters Now
Data observability has evolved from a nice-to-have to a critical capability for modern data-driven organisations. As data volumes grow and architectures become more complex, the ability to monitor, understand, and trust your data pipelines has become essential for operational excellence.
The Sessions You Can't Miss
We've identified four essential sessions that showcase real-world implementations and practical approaches to data observability:
Real-World Implementation Insights
Iceberg – Tales from a Real Implementor
Learning from practical implementation experiences is invaluable when considering Apache Iceberg for your data architecture. This session will provide hands-on insights into the challenges and successes of deploying Iceberg in production environments.
Building Resilient Data Operations: Arch Capital's Transformation Journey
Arch Capital's data quality journey offers practical insights for financial services organisations tackling similar challenges. Their transformation story demonstrates how robust data operations can be built and scaled within heavily regulated industries.
Industry Case Studies & Solutions
How Dun & Bradstreet Leverages Data Observability for Quality & Efficiency
A compelling case study from Dun & Bradstreet and Acceldata on implementing observability at scale. This session will explore how enterprise-scale organisations can deploy comprehensive data observability solutions to improve both quality and operational efficiency.
From Observability to Action: Operationalising Trust at Scale
Sifflet's approach to moving beyond monitoring to actionable data trust. This session addresses the critical gap between observing data issues and taking meaningful action to resolve them.
Key Themes to Watch
These sessions represent several important trends in data observability:
From Theory to Practice: Moving beyond conceptual discussions to real implementation stories
Enterprise Scale: Understanding how observability works in large, complex organisations
Actionable Insights: Transforming monitoring data into operational improvements
Industry-Specific Challenges: Learning from sectors with specific regulatory and operational requirements
Building Data Trust
At BearingNode, we see data observability as fundamental to building and maintaining data trust across organisations. The sessions highlighted above demonstrate how leading companies are moving from reactive data quality management to proactive, observable data operations.
The speakers at these sessions are investing significant time in their preparation, and we're grateful to both the sponsors and presenters for contributing to the industry's collective knowledge.
Meet the BearingNode Team at Big Data London
Daniel Rolles, CEO & Founder and Eddie Short, Advisory Board Member will both be attending Big Data London 2025.
Daniel brings over 30 years of experience in Data, Analytics and AI, leading BearingNode's strategic vision in data transformation and regulatory compliance. As one of the key authors of BearingNode's Data and Information Observability Framework, he regularly shares insights on practical approaches to data governance and AI implementation. Connect with Daniel on LinkedIn.
Eddie Short brings exceptional expertise in data and analytics leadership to our Advisory Board. His approach centres on treating data as a valuable economic asset and developing principled, ethical, and risk-aware decision-making frameworks. Eddie's insights have been instrumental in shaping our framework's approach to connecting governance theory with measurable business outcomes. Connect with Eddie on LinkedIn.
Let's Connect
If you're attending Big Data London and would like to discuss data observability, implementation strategies, or how observability fits into modern data architectures, please don't hesitate to reach out. We'd love to connect and share insights from our work in the field.
See you there!
