Straightforward ETL from any data source into Amazon Neptune, here’s how
Customers use knowledge graphs to consolidate and integrate information assets and make them more readily available.
Building knowledge graphs by getting data from disparate existing data sources can be expensive, time-consuming, and complex. Project planning, project management, engineering, maintenance and release cycles all contribute to the complexity and time to build a platform to populate your knowledge graph database.
We at Data Lens Ltd. have been implementing Knowledge Graph solutions as a consultancy for 10 years, and have now released tooling to greatly reduce the time and effort required to build a Knowledge Graph.
Use Data Lens to make building a knowledge graph in Amazon Neptune faster and simpler. With no engineering, just configuration.
Together with AWS, over the course of two blog posts on the Official Amazon Web Services Database Blog, we cover how to build a knowledge graph in Amazon Neptune along with how to configure the Data Lens and AWS services.
For a step-by-step guide on implementing the functional solution, visit this post:
And to see how to set up all the services required to run this solution in AWS, see this post:
Configure AWS services to build a knowledge graph in Amazon Neptune using Data Lens
