The concept of a modern data platform is evolving to prioritize business impact and value creation, moving beyond a purely technical focus. This shift is driven by the increasing importance of data mesh principles and the need to integrate them into platform setups. The next-generation data platform needs to be built on specific foundational principles:

1. Simplification: Reduce complexity by minimizing the number of tools and simplifying user interfaces.
2. Abstraction: Abstract away technical complexities to provide users with easy-to-use tools.
3. Self-Service: Enable users to access and utilize data independently, empowering them to make data-driven decisions.
4. Federation: Embrace a distributed style of data ownership where domains play an active role in data management.
5. Plug and Play Data Management: Integrate data management practices into the platform architecture to streamline processes and ensure data quality and governance.

Design the platform with future growth and scalability in mind, ensuring its adaptability to changing needs.

Key components of a next-generation data platform include:

• Scalable infrastructure: A robust infrastructure that can handle increasing data volumes and computational demands.