Customers expect to have nuanced journeys in their interaction with several aspects of sales, including ordering, shipping and payments. For example, a customer may want to order using a voice channel, send a pinned location on a map as a delivery location and rely on self-service for returns and payments. These ordering journeys are characterized by a reliance on a mesh of API-driven apps. With Dgraph, you get out-of-the-box support for GraphQL APIs.
Another unique aspect of these journeys is the iterative style of development involved. Developers rely directly on feedback from active users, and constantly update the coding artifacts involved. A major impediment to rapid iterations is the time taken by developers to implement changes made to the data model. Developers tend to make changes to the database, and then refactor the API to accommodate the changes across the Create, Read, Update and Delete (CRUD) actions. In this talk, you will learn modeling techniques using GraphQL and Dgraph that support these rapid iteration needs.
Speaker: Anand Chandrashekar – Dgraph Labs
