R&D teams work with many forms of life sciences data, making it important to organize that data and uncover connections across it. The R&D Optimization With Knowledge Graphs Solution Accelerator shows how knowledge graphs combine the semantics, scalability and flexibility of a graph database with the performance and governance of a data lakehouse. Teams can store and organize life sciences data, synthesize insights through network analytics and machine learning, and build a knowledge graph with Wisecube to reveal opportunities to improve R&D.

With this Accelerator, you get

• Ready-to-use resources: pre-built code, sample data and step-by-step instructions ready to go in a Databricks notebook
• Organize life sciences data: store and organize different forms of data in the lakehouse.
• Synthesize insights: use network analytics and machine learning to explore connections in the data.
• Build a knowledge graph: use Wisecube to reveal opportunities to improve R&D.

🔗 Launch Solution Accelerator 👈