In this session, learn how to better analyze your data for patterns and inform decisions by pairing relational databases with a number of AWS services, including the graph database service, Amazon Neptune. Additionally, hear about the use of AWS Glue and Apache Ranger for data cataloging and as a baseline for query and dataset resolution. Learn about the use of AWS Fargate and AWS Lambda for serverless provisioning of complex data and how to do data rights management at scale on an enterprise data lake. As a case study, hear how Change Healthcare is building an Intelligent Health Platform (IHP) using these services to help standardize and simplify a number of healthcare workflows, including payment processing, which have traditionally been both complex and disconnected from healthcare event data. Complete Title: AWS re:Invent 2018: Data Patterns & Analysis with Amazon Neptune: A Case Study in Healthcare Billing (HLC303)