Live interview from July 9th with Mark Grover, Product Manager at Lyft. Mark is working on Lyft's data discovery and metadata engine, Amundsen, which uses Neo4j as the backend data source for data discovery.
During this 25-min session, Mark takes a deep dive into Amundsen's architecture which leverages a comprehensive Neo4j knowledge graph, centralized metadata and PageRank to achieve amazing results by reducing the time it takes to discover data by 10x!
This Intro to Graph Databases series is a collection of short videos getting folks started on Graph Databases. You'll learn why graph databases are special, how they're an antibiotic for some use cases, how the database is much more intuitive and efficient than RDBMS and how easy it is to get started. You'll also learn how to model your data in a Property Graph, how to architect your Neo4j environment in a polyglot form and more.
In future episodes, you'l learn querying Neo4j, using the Neo4j Browser, importing data, syncing MongoDB with Neo4j and more.