Zweites Apache Hop Meetup

Seien Sie online dabei, wenn Bart Maertens und Matt Casters die Hop Architektur vorstellen und über das Apacheprojekt sowie deren Community berichten. Außerdem teilen wir in einer Demo unsere Erfahrungen aus ersten Apache Hop-Projekten. Als Premiere zeigen wir Ihnen, wie… Read more →

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Neo4j Live Demo: Graph Recommendation Systems

Real-time recommendation engines are key to the success of any online business. Join us for a 30-minute live demo where you’ll learn how to build a recommendation engine using graph data science techniques.

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Neo4j Live Demo: Graph Data Science and Machine Learning

Predictive Modeling and Analytics with Graph Data Science for Better Machine Learning Thinking about incorporating relationships into your data to improve machine learning? Maybe you’re creating a knowledge graph to investigate dependencies and find counterfactuals. Relationships are highly predictive of… Read more →

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Neo4j Live Demo: Knowledge Graphs for Skills Discovery

A knowledge graph drives intelligence into your data. Join us for a 30-minute live demo on how to use knowledge graphs to find hidden talent at your organization.

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Neo4j Live Demo: Supply Chain

The global supply chain is in turmoil, but organizations can build a resilient supply chain using graph techniques. Join us for a 30-minute live demo where you’ll learn to perform real-time analytics on large datasets to optimize routes for delivery… Read more →

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Neo4j Live Demo: Graphs for Fraud Detection

Real-time analysis of data relationships is essential to uncovering fraud rings and other sophisticated scams before fraudsters and criminals cause lasting damage. Join us for a 30-minute live demo where we showcase how Neo4j uncovers difficult-to-detect patterns that far outperform… Read more →

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Neo4j Live Demo: Key Features

In this live demo showcasing key features of our graph data platform, you’ll learn how Neo4j has revolutionized modern data and analytics through the power of connected data. Our experts also walk you through a StackOverflow example, extracting questions, answers,… Read more →

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Neo4j Live: Improve crime investigations with effective visualization

With Alex Law: https://medium.com/kineviz/investigate-crime-through-effective-visualization-d72f99fcc6bb We will dive into how graphs empower digital investigations through visualization, starting with Neo4j’s pre-built sandbox and its underlying POLE (Person, Object, Location, Event) data model. This graph story will highlight how digital investigations can be… Read more →

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What’s New in Graph Data Science: Faster and Easier Than Before – Asia Pacific

Neo4j Graph Data Science is a powerful platform, purpose-built to extract meaning from data relationships to answer business-critical questions. Join us for a 45-minute webinar to hear about key features of the newest release, now available fully managed on Google… Read more →

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What’s New in Graph Data Science: Faster and Easier Than Before – Europe

Neo4j Graph Data Science is a powerful platform, purpose-built to extract meaning from data relationships to answer business-critical questions. Join us for a 45-minute webinar to hear about key features of the newest release, now available fully managed on Google… Read more →

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What’s New in Graph Data Science: Faster and Easier Than Before – North America

Neo4j Graph Data Science is a powerful platform, purpose-built to extract meaning from data relationships to answer business-critical questions. Join us for a 45-minute webinar to hear about key features of the newest release, now available fully managed on Google… Read more →

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Neo4j Training – Advanced Cypher (Italian)

Duration: 2 hours Delivery Type: Online. Link and details to access the online session will be sent by your instructor before the event. Language: Italiano Please note the number of places in each session is limited to allow for interactivity… Read more →

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Neo4j Training – Modelling (Italian)

Duration: 2 hours Delivery Type: Online. Link and details to access the online session will be sent by your instructor before the event. Language: Italiano Please note the number of places in each session is limited to allow for interactivity… Read more →

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Neo4j Training – Basics (Italian)

Duration: 2 hours Delivery Type: Online. Link and details to access the online session will be sent by your instructor before the event. Language: Italiano Please note the number of places in each session is limited to allow for interactivity… Read more →

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Neo4j Live Demo: Graphs for Intelligent Applications

In this 30-minute live demo, you’ll hear how graph technology helps extract deeper context across your data to build more intelligent applications. Learn how graphs are fueling transformation in nearly every field, from financial services and retail to life sciences… Read more →

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Powerlifting : découvrez la force du graphe de connaissances

Durant ce webinaire, nous ferons interagir un graphe de connaissance, construit à partir de données du web sémantique, avec les données personnelles de Noémie Allabert, championne de France, d’Europe et du Monde en Force Athlétique. Nous identifierons des opportunités d’optimisation… Read more →

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Neo4j AuraDB Office Hours April

New to Neo4j AuraDB? Ask your questions so you can be more successful with Neo4j! We are collecting frequently asked questions from our Neo4j AuraDB Users and are answering them live during this session. We also invite the audience to… Read more →

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Going Meta – Semantic search: A worked example Ep. 3

Episode 3 of Going Meta – a series on graphs, semantics and knowledge Repository: https://github.com/jbarrasa/goingmeta

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The Pandora Papers: Exposing Financial Crime with Graph Technology in APAC

The largest investigation in journalistic history, the Pandora Papers revealed a shadow financial system implicating hundreds of well-known figures. Join us for 75-minutes for an interview with ICIJ journalists Emilia Diaz-Struck and Miguel Fiandor Gutiérrez, who share how graph-based analytics… Read more →

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The Pandora Papers: Exposing Financial Crime with Graph Technology in EMEA

The largest investigation in journalistic history, the Pandora Papers revealed a shadow financial system implicating hundreds of well-known figures. Join us for 75-minutes for an interview with ICIJ journalists Emilia Diaz-Struck and Miguel Fiandor Gutiérrez, who share how graph-based analytics… Read more →

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The Pandora Papers: Exposing Financial Crime with Graph Technology

The largest investigation in journalistic history, the Pandora Papers revealed a shadow financial system implicating hundreds of well-known figures. Join us for 75-minutes for an interview with ICIJ journalists Emilia Diaz-Struck and Miguel Fiandor Gutiérrez, who share how graph-based analytics… Read more →

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Cuando las relaciones importan: análisis con Neo4j y GDS

Las medidas tradicionales de prevención del fraude se centran en datos discretos, como cuentas específicas, personas, dispositivos o direcciones IP. Sin embargo, los estafadores han implementado nuevas formas sofisticadas para tratar de escapar de los controles tradicionales. Por lo tanto,… Read more →

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Grafowe bazy danych – Neo4j

Ogromna część projektów lub usług korzysta z jakiegoś źródła danych – zazwyczaj jest nim relacyjna baza jak Postgres lub MySQL, przechowująca je w formie tabel. W niektórych przypadkach architekci decydują się na użycie baz zorientowanych na dokumenty, jak na przykład… Read more →

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Neo4j Live Demo: Graph Data Science and Machine Learning

Predictive Modeling and Analytics with Graph Data Science for Better Machine Learning Thinking about incorporating relationships into your data to improve machine learning? Maybe you’re creating a knowledge graph to investigate dependencies and find counterfactuals. Relationships are highly predictive of… Read more →

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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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