#GraphCast: How Lyft Drives Data Discovery
By Jocelyn Hoppa
September 27, 2019 < 1 min read
Check out this week’s #GraphCast, featuring a GraphTour presentation on how Lyft drives data discovery by Tamika Tannis, a software engineer using Amundsen.
Explore: Amundsen • Connected Data • data discovery • graph database • GraphCast • graphconnect • GraphTour • Lyft • neo4j • Tamika Tannis
Live from Lyft: Q&A with Mark Grover, Product Manager at Lyft
By Corin Gainey
September 26, 2019 5 mins read
Discover how Lyft has integrated Neo4j into their data sharing process and how they test information integrity with Amundsen.
Explore: Connected Data • data discovery • data model • Data Visualization • ETL tool • graph database • graph technology • Knowledge Graph • Lyft • machine learning
This Week in Neo4j – GraphConnect 2020 Registration Now Open, Data Discovery at Lyft, Finding Motifs in Cypher for Fun and Profit
By Mark Needham
July 13, 2019 3 mins read
This week Greta Workman interviewed Mark Grover about Data Discovery at Lyft and we opened registration for the GraphConnect 2020 conference. We also learn about a tool for keeping track of applications in a micro services architecture, and Max De… Read more →
Explore: Amundsen • clojure • GraphConnect 2020 • Lyft • Motifs • SSIS • twin4j
