Graph databases are an excellent choice for storing and querying your connected data. They allow you to store information in a logical and complementary way that’s reflective of the domain you’re working in. However, when faced with the questions you’re looking to answer, it may not be immediately obvious that what you’re looking at is a graph question.

In this session we will show you tips and tricks for identifying graph-shaped problems.

This webinar is for everybody who wants or needs to learn how to spot certain structures in their data and understand if the data you are working with lends itself to working with a graph.

Ljubica Lazarevic
Developer Relations Advocate

Ljubica Lazarevic is a Developer Relations Advocate at Neo4j where she continues to explore her love of data and the power of connecting it through graphs. She's previously worked in data architecture, consultancy, development and ecology.

You can check out some of her blogs at medium.com/@lju, or tweet @ellazal


Benoît Simard
Field Engineer, Neo4j

Benoît est un développeur en informatique passionné par les nouvelles technologies et la philosophie du libre.

Ayant réalisé ses études à l'institut des mathématiques appliquées à Angers, son domaine d'expertise s'est tourné vers le domaine du web et des graphes. Evangéliste Neo4j depuis 3 ans, Benoît travaille actuellement chez Neo4j France comme expert et consultant technique. Il aime par ailleurs partager ses connaissances sur les graphes avec la communauté et lors de sessions de formation dédiées.
Kelsey Bieri
Data Governance Analyst, ICC

Kelsey Bieri is a Data Governance Analyst at ICC in the Master Data Management and Data Governance Practice. She has contributed to numerous data governance and data lineage projects in the Banking industry, helping organizations build a better understanding of their data universe. Kelsey holds a degree in Management Information Systems from the College of Business at Ohio University.

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