Session Outline
Data mesh helps organisations think about organisational change to democratise data. Data Fabrics provided a pattern for the implementation of data management at scale. Today, we will focus on the event-driven, real-time business and how everything is transitioning to always-on. We will explore how organisations manage their upstream supply and engage with their downstream consumer. How data flows as events between all actors across the Enterprise.
Key Takeaways
- Empowering Data Ownership with Data Mesh: Data Mesh shifts the responsibility of data management to domain teams, enabling decentralized ownership, scalability, and faster decision-making across the organization.
- Implementing Scalable Data Management with Data Fabrics: Data Fabrics provide a unified, integrated architecture for managing data across disparate sources, streamlining data access, and improving operational efficiency at scale.
- Real-Time, Event-Driven Data Architecture: As businesses transition to always-on environments, managing real-time event driven data flows between upstream systems and downstream consumers is key to enabling agile, responsive operations across the enterprise.
