049 Connected Data Lakehouse Neo4j and Databricks Reference Data Architecture – NODES2022

In this technical session, Neo4j and Databricks will discuss and demonstrate a reference architecture that leverages each other’s strengths in connected data and big data to ingest, transform, analyse, and present insights. This demo will use a supply chain dataset to curate data and predict delays using Databricks. Conversely, Neo4j will be used to model the supply chain network, analyze, and perform graph data science.

Speakers: Emil Pastor, Ajmal Aziz
Format: Full Session 30-45 min
Level: Intermediate
Topics: #BestPractices, #Database, #Analytics, #GraphDataScience, #Cloud, #General, #ShippingandLogistics, #Intermediate
Region: APAC
Slides: https://dist.neo4j.com/nodes-20202-slides/049%20Connected%20Data%20Lakehouse%20Neo4j%20and%20Databricks%20Reference%20Data%20Architecture%20-%20NODES2022%20-%20APAC%20Intermediate%204%20-%20Emil%20Pastor%2C%20Ajmal%20Aziz.pdf

Visit https://neo4j.com/video/nodes-2022/ learn more at https://neo4j.com/developer/get-started and engage at https://community.neo4j.com