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On-Demand Webinars

 

Introducing Neo4j 3.1: The Graph Foundation for the Enterprise

Emil Eifrem, CEO, Neo4j and the Neo4j Product Team

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Join Emil Eifrem and the Neo4j product team for this special live event to learn about Neo4j 3.x series with a deep dive on Neo4j 3.1. Neo4j 3.1 introduces a new clustering architecture that enables very large clusters of Neo4j to be deployed across data centers while maintaining the data integrity that is is critical for your production data.


Neo4j Use Cases - Graphdatenbanken im Einsatz

Bruno Ungermann, Sales Manager [DE]

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Wenn es an der Zeit ist eine Datenbank für Ihr Projekt auszuwählen, gibt es inzwischen eine verwirrende Anzahl von Auswahlmöglichkeiten. Woher wissen Sie, wann Ihr Projekt gut für eine relationale Datenbank ist, oder ob einer der vielen NoSQL-Optionen eine bessere Wahl darstellt? In diesem Webinar betrachten wir wann Neo4j zum Einsatz kommen sollte und wo die Vorzüge darin liegen. Dies wird anhand von Kundenbeispielen mit konkreten Einsatzszenerien erläutert.


Neo4j Top Use Cases

Jonny Cheetham, Sales Director

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Graph databases are a rising tide in the world of big data insights, and the enterprises that tap into their power realize significant competitive advantages. So how might your enterprise leverage graph databases to generate competitive insights and derive significant business value from your connected data? This webinar will show you the top five most impactful and profitable use cases of graph databases.


Large Scale Graph Processing with IBM Power Systems and Neo4j

Keshav Ranganathan, Senior Offering Manager, IBM and Phillip Rathle, VP of Products, Neo4j

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We live in a profoundly connected world. From supply chains to payment networks to digital business and complex portfolios, our ability to understand and navigate not just data, but relationships inside the data, play an increasingly important role in all aspects of business. Highly connected value chains that generate massive volumes of connected data create an opportunity for graph analysis, which Gartner describes as "the single most single most effective competitive differentiator for organizations pursuing data-driven operations and decisions." This talk will introduce the power of graph databases and share how the latest IBM Power Systems offerings featuring the POWER8 processor and CAPI-attached Flash enable unique scaling, performance and price-performance advantages for Neo4j workloads.


Neo4j 3.1 - Die Neuerungen im Überblick

Michael Hunger, Developer Evangelist [DE]

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Wir haben kürzlich Neo4j 3.1 als Beta veröffentlicht und in diesem Webinar zeigen wir die Neuerungen im Überblick


Introducing Neo4j 3.1 New Security and Clustering Architecture

Igor Borojevic, Director, Product Mgmt and William Lyon, Developer Relations Engineer, Neo4j

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Introducing Neo4j 3.1 New Security and Clustering Architecture | Neo4j 3.1, now in public beta, introduces many new exciting features. It improves upon existing security features to provide enterprise class user management, including role based authentication and AD/LDAP integration. The release introduces a new clustering architecture called Causal Clustering that enables very large clusters of Neo4j to be deployed across data centers while maintaining the data integrity that is is critical for the property graph model. Other highlights include database kernel and operations advances, user defined functions, a new Cypher command line interface, and Neo4j Browser improvements. In this webinar we will cover these new features in detail, including a live demo where we will show how to deploy a Neo4j 3.1 cluster and manage users using the new security features.


Intro to Neo4j

Ryan Boyd, Developer Relations, Neo4j

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In this introduction to Neo4j and Graph Databases, we discuss the primary use cases for Graph Databases and explore the properties of Neo4j that make those use cases possible. We'll cover the high-level steps of modeling, importing, and querying your data using Cypher and give you an overview of the transition from RDBMS to Graph.


Meaningful User Experience with Graph Data

Chris LaCava, Senior UX Designer, Expero, and William Lyon, Developer Relations Engineer, Neo4j

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To get the value out of your graph investment, you’ll need to provide an experience that enables users to explore and visualize your graph data in meaningful ways. In this talk, we’ll take a hands on approach to applying user-centered strategies and leveraging the latest UI tools to rapidly create great experiences with graph data. Topics will include


Moderne Polyglotte Architekturen mit Neo4j

Stefan Kolmar, Director Field Engineering [DE]

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In dieser Präsentation wird vorgestellt, wie moderne Polyglotte Architekturen erstellt werden können und wie sie dabei helfen, derzeitige und zukünftige Anforderungen abzubilden. Es werden auch Beispiele und Use Cases von Unternehmen vorgestellt, die diesen Weg bereits erfolgreich gehen und Neo4j als Teil Ihrer Infrastruktur nutzen.


Intro to Graph Thinking

Ryan Boyd, Developer Relations Engineer, Neo4j

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The ability to make connections in the world around us is the fundamental advantage of humanity. The more efficiently we can make sense of things around us, the stronger/faster/better we can be. Imagine applying that thinking to your business. Using data relationships to make connections between individual data records transforms the data you already have into something much more powerful. This webinar shows how both young and established companies have adopted graph thinking - and how they’ve risen to dominate their fields.


Exploring the Great Olympian Graph

Rik Van Bruggen, Regional Vice President, Neo4j

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While the Rio 2016 Olympics are winding down and the final medals are being handed out, we thought we would share a bit of work that was done recently by Rik Van Bruggen to explore a really interesting dataset in Neo4j. Based on an original public dataset by the UK newspaper The Guardian, Rik completed the medallist dataset to contain over 30,000 Olympians between 1896 and 2012. He created a graph model, loaded the data, and wrote a bunch of example queries that yielded some very interesting results. Join us for this 30 minute webinar where we’ll take you through this great Olympian graph and take the data for a spin yourself afterwards.


RDBMS to Graphs

William Lyon, Developer Relations Engineer, Neo4j

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Relational databases were conceived to digitize paper forms and automate well-structured business processes, and still have their uses. But, oftentimes with RDBMS, performance degrades with the increasing number and levels of data relationships and data size. A graph database like Neo4j naturally stores, manages, analyzes, and uses data within the context of connections meaning Neo4j provides faster query performance and vastly improved flexibility in handling complex hierarchies than SQL. Watch this webinar to learn why companies are shifting away from RDBMS towards graphs to unlock the business value in their data relationships.


Tips and Tricks for Graph Data Modeling

Mark Needham, Engineer, Neo4j

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As the only NoSQL database category that prioritizes relationships, graph databases provide all the flexibility of a NoSQL database with optimized performance for connected data. This webinar will walk you through how to model your data as a graph. We will demonstrate how to avoid pitfalls early on and how to optimize your model for answering questions as Cypher queries.


Polyglot Persistence with MongoDB and Neo4j

William Lyon, Developer Relations Engineer, Neo4j

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Learn how to enhance your application by using Neo4j and MongoDB together. Polyglot persistence is the concept of taking advantage of the strengths of different database technologies to improve functionality and enhance your application. In this webinar we will examine some use cases where it makes sense to use a document database (MongoDB) with a graph database (Neo4j) in a single application. Specifically, we will show how MongoDB can be used to provide search and browsing functionality for a product catalog while using Neo4j to provide personalized product recommendations. Finally we will look at the Neo4j Doc Manager project which facilitates syncing data from MongoDB to Neo4j to make polyglot persistence with MongoDB and Neo4j much easier.


How to Gain Competitive Advantage in Retail using Graphs

Alessandro Amidani Svensson, Solutions Manager, Neo4j

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This webinar will focus on the use of graph databases to gain competitive advantage within the retail industry. We’ll start with an overview of graph databases and Neo4j, and then discuss how to leverage the connections in your data, looking beyond product-related data to build effective recommendation engines and creating the optimal customer experience.


How TruSTAR uses Neo4j

Shimon Modi, Director of Product, TruSTAR, and Ian Sinnott, Senior Software Engineer, TruSTAR

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As cyber threats continue to outpace capabilities of security operators, companies are facing the reality of balancing their limited cyber resources with expanding digital footprints. Today’s enterprise security model is based on ever-evolving endpoint security and monitoring technologies that require security teams to sift through a myriad of data and alerts. While security analytics continue to mature and certainly have their place, incident information exchange and cross-organizational sharing seems to be stuck in 20th century. A growing number of security professionals agree that the most under-utilized information in cyber security today is that of attacks that have already happened. Join TRUstar on Thursday, June 9th, to learn how a connected approach towards data applies to different security use cases—and how to increase performance and services in each of these sectors by leveraging connections in data.


The Panama Papers and Linkurious

Jean Villedieu, Co-Founder, Linkurious

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Involving 2.6 TB of data and 11.5 million documents, The Panama Papers were the biggest leak and the largest cross-border investigation in journalism history. This webinar by the Co-Founder of Linurious reviews how the ICIJ journalists used Linkurious to investigate the data and uncover criminals, politicians and high-profile personalities connected to companies in tax havens.


How the ICIJ Used Neo4j to Unravel the Panama Papers

Mar Cabra, Data Editor, Data & Research Unit, ICIJ

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Involving 2.6 TB of data and 11.5 million documents, The Panama Papers were the biggest leak and the largest cross-border investigation in journalism history. This massive trove of documents exposed how the offshore economy works like never before. Watch this webinar to learn how graph databases were key in revealing the main names connected to companies in tax havens, including 140 politicians in more than 50 countries.


Leveraging Connections in Data for Govt Agencies

Alessandro Amidani Svensson, Solutions Manager, Neo4j

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This webinar is designed specifically for people who work with digital development, strategy or enterprise architecture for a government or a public sector institution. We’ll start with an overview of Neo4j and and explain how a connected approach towards data applies for different use cases within Government, such as e-government, security, health care, law enforcement, and treasury – and how to increase performance and services in each of these sectors by leveraging connections in data.


Introducing Neo4j 3.0

William Lyon, Developer Relations, Neo4j

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During this presentation, Will covers the updates made in the Neo4j 3.0 release. He introduces Bolt (Neo4j's new binary protocol), and shows how developers can start using the Neo4j official drivers, build a stored procedure and take advantage of advanced support for cloud, container and on-premise.


I 5 principali use case di applicazione del Graph Database Neo4j

Lorenzo Speranzoni, Founder [IT]

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In questo webinar, illustreremo i 5 principali use case di applicazione di Neo4j, l’unico graph database inserito nel MQ degli ODBMS di Gartner


Intro to Cypher for the SQL Developer

Mark Needham, Support Engineer, Neo4j

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This introduction to Cypher is designed specifically for the SQL developer. In this webinar we'll explore a data set using Neo4j and Cypher and compare the approach we might take with a relational database and SQL.


Neo4j Use Cases Graphdatenbanken im Einsatz

Holger Temme, Area Director [DE]

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In diesem Webinar betrachten wir wann Neo4j zum Einsatz kommen sollte und wo die Vorzüge darin liegen. Dies wird anhand von Kundenbeispielen mit konkreten Einsatzszenerien erläutert.


Intro to Neo4j

William Lyon, Developer Relations, Neo4j

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This webinar will provide an introduction to Neo4j and Graph Databases. We'll discuss the primary use cases for Graph Databases and the properties of Neo4j which make those use cases possible. We'll then cover the high-level steps of modeling, importing, and querying your data using Cypher. We'll also touch on RDBMS to Graph.


Financial Markets are Graphs

Kevin Van Gundy, Evangelist, Neo4j

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The credit default swap is connected to the CDO. The CDO is connected to the bond. Bond is connected to tranche. And it's all a house of cards! The Big Short helped many understand for the first time what actually happened during The Great Recession and this webinar will help you understand how connected data analysis and graph theory can prevent it from happening again.


Top 5 des Cas d Usage Neo4j

Benoit Simard, Consultant Technique [FR]

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Présentation du Top 5 des cas d'usage de Neo4j


RDBMS to Graph

Ryan Boyd, Developer Relations, Neo4j

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This webinar explains why companies are shifting away from RDBMS towards graphs to unlock the business value in their data relationships. Ryan also explains how graph databases like Neo4j naturally store, manage, analyze, and use data within the context of connections, providing faster query performance and vastly improved flexibility in handling complex hierarchies than SQL


Graphs for Enterprise Architects

Mark Needham, Software Engineer, Neo4j, and Jesus Barrasa, Field Team, Neo4j

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This introduction to graph databases is specifically designed for Enterprise Architects who need to map business requirements to architectural components like graph databases. It explains how and why graphs matter for Enterprise Architecture and reviews the architectural differences between relational and graph models


Einführung in Neo4j

Michael Hunger, Developer Evangelist [DE]

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Was sind die Vorzüge von Graphdatenbanken? Was sind die Unterschiede zwischen relationalen Datenbanken und Graphmodellen? Und schließlich


Natural Language Processing with Graphs

William Lyon, Developer Relations Enginner, Neo4j

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During this webinar, we’ll provide an overview of graph databases, followed by a survey of the role for graph databases in natural language processing tasks, including


Why Graph Thinking Matters

Andreas Kollegger, Product Designer, Neo4j

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Using data relationships to make connections between individual data records transforms the data you already have into something much more powerful. This webinar will explain how both young and established companies have adopted graph thinking - and how they’ve risen to dominate their fields.


Tips and Tricks for Graph Data Modeling

Mark Needham, Neo4j Engineer

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This webinar will walk you through how to model your data as a graph. We will demonstrate how to avoid pitfalls early on and how to optimize your model for answering questions as Cypher queries.


Betrugsbekämpfung mit Neo4j

Stefan Kolmar, Director Field Engineering [DE]

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Weil Betrüger immer raffinierter werden, müssen Firmen ihre Mechanismen verbessern, um Betrug zu bekämpfen. Neo4j hilft Betrugsringe und andere Maschen präzise und in Echtzeit aufzudecken.


Intro to Graph Databases

Will Lyon, Developer Relations Engineer

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A basic overview of graph databases and Neo4j. He covers the property graph model, Cypher, common use cases and more. This webinar includes a demo of Neo4j using congressional data as an example.


Fraud Detection with Neo4j

Stefan Kolmar, Director Field Engineering

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Whether it’s first-party bank fraud, money laundering, insurance fraud or e-commerce fraud, Neo4j helps you detect the essential elements you need across different types of fraudulent activity. Stefan will walk through a sample fraud detection application powered by Neo4j.


Umgekehrte Architekturanalyse im Datastore Umfeld

Joachim Arrasz and Christian Mennerich, synyx [DE]

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Wenn es an der Zeit ist eine Datenbank für Ihr Projekt auszuwählen, gibt es inzwischen eine verwirrende Anzahl von Auswahlmöglichkeiten. Woher wissen Sie, wann Ihr Projekt gut für eine relationale Datenbank ist, oder ob einer der vielen NoSQL-Optionen eine bessere Wahl darstellt?


Visualize and Analyze your Neo4j Data with Tom Sawyer

Joshua Feingold, Head of Solutions Engineering, Tom Sawyer Software

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Learn how you can use Neo4j and Tom Sawyer Perspectives to build applications that add graph visualization capabilities to Neo4j databases through the Cypher query language.


Bootstrapping Recommendations with Neo4j

Max De Marzi, Field Engineer, Neo Technology

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Graph databases are a popular choice for online recommendation engines for their flexibility in storing social data. Organizations like Walmart are turning to Neo4j to manage their online recommendation systems and provide social elements to their users.


From RDBMS to Graphs

Ryan Boyd, Developer Relations,Neo Technology

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A graph database like Neo4j naturally stores, manages, analyzes, and uses data within the context of connections meaning Neo4j provides faster query performance and vastly improved flexibility in handling complex hierarchies than SQL. Join this webinar to learn why companies are shifting away from RDBMS towards graphs to unlock the business value in their data relationships.


Graph Databases for Python Users

Nicole White, Chief Data Scientist, Neo Technology

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Learn how to use Python to collect data from Twitter’s API, Neo4j to easily and reliably store this highly-connected data, and Python again for quick analysis and visualization. Follow along with these resources - 1) nicolewhite.github.io/neo4j-jupyter/hello-world.html 2) nicolewhite.github.io/neo4j-jupyter/twitter.html 3) github.com/nicolewhite/neo4j-jupyter


Metadata & Access Control Using Ruby on Rails and Neo4j

Brian Underwood, Developer Relations, Neo Technology

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Create simple and reusable code to build an access control system using Ruby on Rails similar to the one described above, including a consistent UI and the ability to grant or deny access to users – all powered by Neo4j.


Neo4j Use Cases - Graphdatenbanken im Einsatz

Holger Temme, Area Director, Neo Technology [DE]

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Wenn es an der Zeit ist eine Datenbank für Ihr Projekt auszuwählen, gibt es inzwischen eine verwirrende Anzahl von Auswahlmöglichkeiten. Woher wissen Sie, wann Ihr Projekt gut für eine relationale Datenbank ist, oder ob einer der vielen NoSQL-Optionen eine bessere Wahl darstellt?


What Finance Can Learn from Dating Sites

Max De Marzi, Field Engineer, Neo Technology

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Dating, as is often said, is a numbers game. And organizations such as Match.com, and Zoosk rely on very sophisticated technology as they sift through vast customer bases to create the most compatible couples. Dating sites are getting better performance and more value out of their data than financial institutions by using Neo4j.


Neo4j in un'ora gestire dati moderni in un database a grafo

Lorenzo Speranzoni, CEO di LARUS Business Automation [IT]

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Lorenzo illustrerà alcuni di questi casi d'uso, aiutandoci a comprendere in quali ambiti neo4j risulta la soluzione più efficace tra quelle proposte nel panorama no-sql e come un graph database può semplificare grandemente il processo di modellazione del dominio di business, accelerando in definitiva la realizzazione degli applicativi e garantendo prestazioni near real-time anche in presenza di grandi moli di dati.


Visualizations with RNeo4j

Nicole White, Chief Data Scientist, Neo Technology

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Explore the various methods of visualizing and analyzing your R data when stored in Neo4j. Learn algorithm-driven visualization in igraph, such as visualizing clusters after executing a community-detection algorithm, along with interactive visualizations made possible with packages such as d3Network and visNetwork, both which wrap JavaScript libraries.


Optimizing Data Import with Neo4j

Mark Needham, Senior Engineer, Neo Technology

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Learn some tips and tricks for optimizing your data import, going over Load CSV, Batch Import, and REST Api.


Graph Visualization for Neo4j with Linkurious Enterprise

Jean Villedieu, Co-Founder, Linkurious

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Discover how to use Linkurious Enterprise to help your team extract insights from Neo4j, leading to smarter, data-driven business decisions. Linkurious Enterprise is an-out-of-box solution to search, explore and visualize Neo4j data, in a safe and collaborative way. Jean Villedieu, co-founder of Linkurious, will present Linkurious Enterprise and discuss various graph visualization use cases.


Relational to Graph Importing Data into Neo4j

Michael Hunger, Developer Relations, Neo Technology

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Neo4j offers several ways to quickly and efficiently import relational data into a suitable graph model. It's as simple as exporting the subset of the data you want to import and ingest it either with an initial loader in seconds or minutes or apply Cypher's power to put your relational data transactionally in the right places of your graph model.


Relationale Daten in Neo4j importieren

Michael Hunger, Developer Relations, Neo Technology [DE]

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Zum Glück bietet Neo4j eine Vielzahl von Möglichkeiten relationale Daten schnell und effizient zu importieren. Dazu müssen Sie einfach nur Ihre exportieren Daten in Neo4j importieren. Innerhalb kürzester Zeit können Sie dann Ihre relationalen Daten mit Cypher transaktionell an den richtigen Ort in Ihrem Graph Modell setzen. Slides


Relational to Graph Data Modeling

Michael Hunger, Developer Relations, Neo Technology

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Relational models can be complex and transferring them to an easy-to-understand graph model can seem daunting. Michael Hunger dispels this myth in this hour long webinar, and shows how easy it is to transfer models (and how much simpler your life will be afterwards!)