Data platforms have long relied on centralization and complex engineering, leading to inefficiencies. Business users faced significant hurdles in accessing insights, often waiting days for data engineering teams to build necessary pipelines and queries. This rigid structure created bottlenecks and hampered decision-making. The article introduces Da2a, a new open-source project that proposes a shift toward a collaborative, agentic model. Instead of a single centralized system, it envisions a network of specialized agents, each focused on specific domains like marketing or e-commerce. These agents communicate through a standardized protocol called Agent-to-Agent (A2A), allowing them to work together seamlessly. For example, to determine the ROI of a marketing campaign, a user can simply ask an orchestrator agent, which coordinates the response by leveraging the expertise of specialized agents. The architecture includes a Root Agent that delegates tasks and domain agents that operate independently with their own databases. Each agent presents an “agent card” detailing its capabilities. This setup allows for easier scalability; adding new data domains requires just deploying new agents without overhauling the entire system. While the prototype shows promise, challenges remain. A2A is effective for orchestrating tasks but struggles with transferring large data volumes. Future work will need to address efficient data transfer methods to realize the full potential of this agentic, collaborative model.