Data Architecture Melbourne explores strategies for building scalable, integrated, and modern data architectures to support AI-driven workloads and future-ready enterprises.
Key Topics
Integration of data using APIs, event-driven models, and standardized formats
Scalability through real-time and batch processing with cloud-native tools
Modernisation of legacy systems into agile and efficient architectures
Quality and assurance by reducing silos and enhancing data validation
