Traditional data science is good at managing clear and simple relationships within data sets. However, as data sets are becoming more varied, complex and convoluted, we now see organisations turning to something called graph data science, or graph analytics, which are often built on top of graph databases.
To understand more about graph data science and how organisations can use it to improve their insights, watch the video linked below as DSA interviews Jim Webber, Chief Scientist from Neo4j.
Watch Part 1 of the video interview here: https://datastorageasean.com/video-executive-interviews/neo4j-chief-scientist-explains-growing-importance-graph-data-science-partWatch Part 2 of the video interview here: https://datastorageasean.com/video-executive-interviews/neo4j-chief-scientist-explains-growing-importance-graph-data-science-pa-0
Keywords: APAC Graph Analytics graph data science Graph Databases