(Part 5/N) Salesforce: Anypoint DataGraph - Create a unified GraphQL Schema
Manage episode 390954096 series 3530865
Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Krish Palaniappan and Varun Palaniappan, Krish Palaniappan, and Varun Palaniappan 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
According to MuleSoft Documentation, "Anypoint DataGraph enables you to connect those graphs into one unified schema that runs as a single SaaS GraphQL endpoint and contains and links all of the fields defined within all of your APIs".
In this podcast episode, Krish explores Salesforce Data Graph and its integration with MuleSoft. He starts by providing an introduction to Salesforce and his personal experience with the platform. Krish then dives into exploring Data Graph, including authentication policies and custom headers. He demonstrates how to update the unified schema and troubleshoot issues with API and asset versions. Krish also discusses the fundamental concepts of Data Graph and differentiates it from MuleSoft Data Graph. He goes on to run queries and mutations and discusses real-world use cases for Data Graph. Krish explores the concept of working with multiple endpoints in GraphQL and how it can be used to integrate multiple APIs. He discusses the potential benefits and challenges of this approach and shares his skepticism until he has had a chance to test it thoroughly. Krish also explains the unified data graph schema and its promise of simplifying API integration. He concludes the conversation by summarizing the key points discussed and inviting listeners to explore the AWS APIs for their backend needs.Snowpal's Products:
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