Matt Debergalis on GraphQL and Data Modelling in the Enterprise

In this podcast, Matt Debergalis, Founder and CTO at Apollo, sat down with InfoQ podcast co-host Daniel Bryant. Topics discussed included: the motivations for GraphQL, the Apollo Data Graph platform, data modelling in an enterprise context, and how incrementally adopting GraphQL can help with decoupling the evolution of frontend and backend systems.

Why listen to this podcast:

- The challenges of defining client-side-friendly data models, building maintainable and composable backend APIs, and moving data from the cloud to a client application contributes to making modern software development difficult and time consuming.

- GraphQL is an open-source data query and manipulation language for APIs, and a runtime for fulfilling queries with existing data. GraphQL lets application developers describe the data they need and bring that data into the screens that they are building for their users.

- The Apollo Data Graph platform is a middleware layer that provides a way of decoupling the core business APIs from the client-side consumption patterns. Apollo can implement cross-cutting concerns, such as transaction management, which mitigates the need to implement this in (potentially multiple) client-side applications.

- Apollo makes it possible to build a “data graph”: a series of graphs that are composed from an organisation’s data for use within client-side applications. A data graph is especially valuable in larger enterprises because it is here that many (money making) systems with existing APIs need to be combined to meet new business requirements.

- GraphQL can be adopted in an incremental fashion. To begin adoption just build the simplest possible graph that matches the needs of the first application, the first screen, or the first component that is required to transition over to the graph. Then let that graph evolve.

More on this: Quick scan our curated show notes on InfoQ https://bit.ly/3fhaeqP

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