NICAR23 – Hands-On with Neo4j

Hands-On with Neo4j: Introduction to graph databases, graph algorithms, and graph data visualization for data journalism This hands-on session will cover how graph databases (specifically the open-source graph database Neo4j) can be used to analyze data as part of data… Read more →

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5 advantages of graph databases vs. relational databases

Discover 5 things graph databases are better at than relational databases, from query speed to scaling flexibility.

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Big Data London 2023

Big Data London is the UK’s leading free to attend data & analytics conference and exhibition, hosting leading data and analytics experts, ready to arm you with the tools to deliver your most effective data-driven strategy. We look forward to… Read more →

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Neo4j Live: SustainGraph – A Knowledge Graph for Sustainable Development

Presenters: Eleni Fotopoulou, Ioanna Mandilara Summary: In this talk, we are going to navigate through SustainGraph. SustainGraph is a Knowledge Graph that is developed in the framework of the ARSINOE H2020 project to track information related to the progress towards… Read more →

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Going Meta – A Series on Graphs, Semantics and Knowledge Ep. 13

Episode 13 of Going Meta – a series on graphs, semantics and knowledge Jesús Barrasa: https://twitter.com/BarrasaDV Repository: https://github.com/jbarrasa/goingmeta

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Scaling strategies with Neo4j

Discover the best strategies for Neo4j to scale with your growing volumes and meet increased throughput demands.

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FIMA

We’re back at FIMA 2023, this November 28 & 29, in London. We look forward to meeting Europe’s CDOs and data leadership teams from Europe’s top investment banks and asset managers.

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Neo4j Live Demo: Neo4j AuraDB Graph Database as a Service

In this live demo showcasing Neo4j as a fully managed cloud platform, you’ll learn why graph databases unlock use cases that are impossible to achieve with other technologies. Our experts walk you through a customer 360 use case, explaining the… Read more →

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Neo4j Live Demo: 5 Graph Data Science Basics For Improving Predictions

Graph data science is a new way of analyzing data to improve predictions and machine learning models. Every data scientist needs to know when and where to apply graph data science in their work. Join us for this 30-minute session… Read more →

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