intending to advance business insights
The Amazon Neptune Graph Database implementation was for a healthcare company that helped in the experimentation with data insights. The American Psychological Association (APA) sought to understand the implementation of a knowledge graph to explore entity relations and connect complex datasets. The APA desired to preserve and traverse the complex relationships between entities in the chosen dataset. It also wanted to search the data and the related entities and derive insights.
The APA aimed to upgrade their analytics performance with the Amazon Neptune Graph Database and apply a diversified set of technologies to improve commercial operations. They needed a more flexible model to keep up with the growing demand for schema changes and better manage various data relationships.
The APA partnered with Virtusa to improve its analytics ecosystem by helping business analysts decrease the time and complexity required to acquire connected data across multiple domains. The idea was to implement graph databases to allow the APA to gain powerful insights from connected datasets and to improve cross-dimensional analysis.
Virtusa used several AWS services to experiment with APA’s sample relational data in an Amazon Neptune Graph Database. During this engagement, our team of engineers:
The APA gained experience using Amazon Neptune’s sophisticated graph database engine. The solution actualized a sample data set with several relationships between datasets, allowing the APA to query the graphs and gain insights.
in the Amazon Neptune Graph Database