If you have already adopted graph, it is important to take an inventory of the actual schema of your graph. Ideally data that lands in a database adheres to your intended data model. But there can be surprises. A development database, with many contributors, many sprints, and numerous experiments, may contain an unexpected assortment of types. Even a production database, where ingest is carefully controlled, might reveal drift requiring the attention of the data architect and stakeholders. We show how to discover and draw the schema of your Neptune database. Learn more at: https://go.aws/3JAeQth Subscribe: More AWS videos: https://go.aws/3m5yEMW More AWS events videos: https://go.aws/3ZHq4BK Do you have technical AWS questions? Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb ABOUT AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster. #AWS #AmazonWebServices #CloudComputing #neptune #database #graph #genai #llm #plantuml