Data Mesh: From Experimentation to Industrialization - A Financial Services Case Study

Learn how a major financial services organization transformed their data architecture from a monolithic data lake to a federated self-service Data Mesh on Google Cloud Platform in this comprehensive conference talk. Explore the journey of implementing Data Mesh principles to overcome challenges in data publishing and analytics platforms, reducing lead times from months to days. Discover how this architectural paradigm shift enabled rapid business value delivery through ML models, MI dashboards, cross-domain analytics, and data provider APIs. Gain insights into the key driving principles of Data Mesh, from MVP to industrialization, and understand how the platform's open self-service nature allowed tenants to contribute features while utilizing core platform capabilities. Follow speakers Sunny Jaisinghani and Simon Massey as they detail how Data Mesh brought technology maturity parity across the organization, became the de facto solution for downstream data operations, and enabled teams to respond swiftly to evolving business demands.