Mark is an avid runner and tracks his run using the popular Strava application. In this talk we'll learn how to load data into Neo4j using APOC's Load JSON procedure and then slice and dice the data using the temporal datatype released in Neo4j 3.4.
We'll be able to answer questions such as:
How many runs were there with a pace under 7:30 minutes per mile?
What's my quickest 10k run?
How many runs have I done in a given month?
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Mark is a graph advocate and field engineer for Neo Technology, the company behind the Neo4j graph database. As a field engineer, Mark helps customers embrace graph data and Neo4j by building sophisticated solutions to challenging data problems.