Written by Harini KrishLead Technical Content Writer
Deliver Digital Initiatives Faster using Anypoint DataGraph with Best Practices and Guidelines!
As enterprises build up their network of APIs, it turns out to be increasingly complicated to serve the data needed for each project. Each project needs data in a different way and likely from several APIs at a time. The objective is to reuse several APIs at once — get data across multiple APIs at the same time, with only one request, and without any customization.
AnyPoint DataGraph is a web-based interface to unify and serve data from all your APIs as one data service. With DataGraph, you can reuse multiple APIs in a single request. Uses the GraphQL query language.
Today, REST APIs — the most used API standard — reveal data and capabilities across systems. REST APIs are easily categorized and shared across developers to promote reuse instead of starting from scratch.
Create a unified schema of your APIs to access data across org. Consume and reuse multiple APIs in a single GraphQL request to innovate faster Dynamically query data from a unified schema. Explore your application network from a single UI. Discover, reuse, and serve information from your application network without writing new code. It runs on a single endpoint and allows us to query all fields from all of our APIs and integrations, saving development time and providing a better developer experience.
Using Anypoint DataGraph, you can serve data across several APIs instantly. This way less time spent on finding the data across various APIs and more time on innovation.
To accomplish this, you automatically compose a data service by combining data across APIs into one GraphQL endpoint without more code. Developers can then take action on this data service without understanding the core relationships or difficulties among different APIs. As a result, they can get the data they need for their project from many APIs with a single request.
Anypoint DataGraph helps you:
Anypoint DataGraph drives the consumability of APIs by providing a capability to tailor data for the needs of a digital channel. For example, a mobile application needs some fields from a product data set, while a web portal requires more information to deliver a holistic view. With Anypoint DataGraph, these applications can specify their need in the API call to the DataGraph endpoint.
Looking at MuleSoft, API-led connectivity deals with the same challenge through an architectural approach: the launch of architectural layers with one devoted layer capturing the specifics of digital channels (Experience APIs).
The basic idea behind Experience APIs is the separation of the logic needed to customize data for a digital channel from the general integration logic. This separation is implemented by the API contracts of the underlying channel-agnostic Process APIs. This separation makes Process APIs reusable across several digital channels by setting them free of any channel-specific logic. As an end result, Experience APIs can be built quickly by reusing Process APIs. This speed of delivery is also strengthened by the comprehensiveness of the Anypoint toolchain around API specification and implementation. You might be interested to read this Whitepaper to know the Key Steps to Cultivating an API Ecosystem with MuleSoft.
Royal Cyber team of experts can help you unleash the potential of Anypoint DataGraph. Anypoint DataGraph lets customers innovate faster by consuming data from many APIs in a single request. This will enable developers to reuse those APIs simultaneously without writing multiple API requests and custom code to parse through long responses. For more information, on how our MuleSoft expert team can help you with AnyPoint DataGraph, write to us at [email protected] or visit www.royalcyber.com.