Agents Running A Data Mesh

The exponential growth of data demands a paradigm shift in how we discover, create, and evolve data products. This presentation introduces a novel Agentic Data Mesh architecture where AI agents take on proactive roles in the data product development lifecycle. Unlike traditional approaches, our agents don't just process data; they think about it.

We envision a system where specialized AI agents, empowered by real-time streaming data from Confluent, proactively identify opportunities for new data products based on business needs, data patterns, and existing data assets. These "Discovery Agents" will propose data product definitions to human subject matter experts for approval, acting as intelligent co-creators.

Upon approval, "Creation Agents" will leverage Confluent Tableflow to seamlessly transform Kafka topics into managed Apache Iceberg tables, ensuring schema evolution, ACID compliance, and time-travel capabilities. This automated creation extends to higher-order data products, where agents autonomously combine, refine, and process existing topics with Apache Flink, continually enriching the data landscape.

Furthermore, "Analysis Agents" will exploit the robust capabilities of Iceberg tables, performing complex analytical queries and identifying new insights that trigger the creation of even more refined data products. This iterative, agent-driven feedback loop creates an invaluable, self-optimizing data product development lifecycle, minimizing manual intervention and accelerating time-to-insight.

Attendees will learn:

- The architecture of an agentic data mesh, integrating AI with Confluent's streaming platform and Apache Iceberg.

- How AI agents can autonomously propose, create, and refine data products.

- Best practices for leveraging Confluent Tableflow for seamless Kafka-to-Iceberg integration in an agentic system.

- Strategies for establishing a continuous, self-improving data product development lifecycle.

- Real-world implications and potential impact on data governance, data quality, and business agility.