In the modern enterprise, one of the biggest problems to innovation is the friction of data fragmentation. Most organizations spend a lot of time finding, cleaning, and understanding data before a single line of application code is even written. But what if your data architecture was "self-describing" and ready to be consumed by both humans and AI? This talk describes a modern Data Fabric approach. We will move beyond specific use cases to explore a universal architectural pattern for building data-driven applications. We will dive into the three pillars of an actionable data strategy: Data Catalog & Lineage: How to create a shared semantic layer where every data point is enriched with business context and traced back to its source, eliminating ambiguity. Real-time Data Pipelines: The methodology for orchestrating flows from legacy systems into Single Views: unified, high-performance data products ready for API consumption. AI-design of an application: We will demonstrate how easy it is to design an application while interacting with Mia-Platform Data Fabric. By the end of this session, you will see how a Solution Architect can design a complex application simply by ""talking"" to the system. Through governed metadata and lineage, the AI understands the context, fetches the right data schemas, and accelerates the design & building process.
LANGUAGE
English
LEVEL
Advanced
FORMAT
Session
