The Neo4j BI Connector: How It Works

Read blog three in Neo4j’s five-part series on the BI Connector.

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Announcing Spring Data Neo4j 6.0

Learn about all the new features and upgrades in our latest release Spring Data Neo4j 6.0, like full support of reactive programming.

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The Great Hookup: Announcing Neo4j Connector for Apache Spark

Announcing a new and great integration tool that moves and reshapes data bi-directionally between Neo4j and Apach Spark.

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Combating Money Laundering: Enterprise AML Technology

Learn about specific characteristics and components of Neo4j that make it ideal for addressing the requirements of anti-money laundering.

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Building a Graph of History with The Codex

Learn about how the Codex deeply integrates text and data by building a graph network of people, places, events and concepts embedded in texts.

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The Secret Sauce of Neo4j: Modeling and Querying Graphs

Learn about the secret sauce of Neo4j, and understand what graphs are all about. Delve into use cases such as recommendation engines and flight data.

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Introducing Neo4j 4.1

Learn about new features we’re introducing with Neo4j 4.1, including role-based access control and granular security, Causal Clustering and more.

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Neo4j 4.0 Security Rocks: The 5-Minute Interview with Michal Bachman, CEO, GraphAware

In this week’s five-minute interview with Michal (conducted at GraphTour NYC 2019), we discuss how his company, GraphAware, uses graph technology.

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#GraphCast: Neo4j 4.0 Explained in Less Than a Minute

Check out this week’s #GraphCast, featuring a quick explainer of Neo4j 4.0, the brand-new graph database with next-generation features and capabilities.

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GraphConnect 2020: Call for Papers Closing November 15

Are you interested in submitting a talk to GraphConnect 2020? Read this blog to learn about the call for papers deadline and submission details.

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DeepWalk: Implementing Graph Embeddings in Neo4j

Discover tips and strategies for implementing graph embedding into a Neo4j graph database, with plenty of Cypher examples.

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This Week in Neo4j – Kafka Streams Graph Processing, GRANDstack Football Transfers, Spring Data Neo4j RX, Role Based Access Control In Neo4j 4.0, Learning Cypher, and More!

This week we have a look at using Neo4j with Kafka Streams, how to build a GRANDstack application to analyze football transfers, a beta release of Spring Data Neo4j RX, a guide for learning Cypher in 30 minutes, an overview of the new role based access control features coming in Neo4j 4.0, a look at NLP with graphs, a guide to knowledge graphs.

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Running Decision Trees in Neo4j

Discover how Neo4j works with decision trees to deliver fast results for solving real-world problems, with an unorthodox nightclub example from Max De Marzi.

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15 Years Loving Graphs: Big Congrats & Thanks to Our Italian Partner LARUS

I just returned from Venice, where enjoyed not only the weather and food but …​ Had an amazing time in Venice, Italy to celebrate the 15th anniversary of our friends and partners from @AgileLARUS. Thanks a lot @inserpio for the… Read more →

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The Future of Data Visualization

Editor’s Note: This presentation was given by Brendan Madden at GraphConnect New York in October 2017. Presentation Summary Tom Sawyer Software is a graph data visualization tool that was founded long before graph databases first hit the market. But with… Read more →

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The Fabric of DevOps: Using Neo4j to Manage Site Infrastructure

Editor’s Note: This presentation was given by Ashley Sun at GraphConnect NYC in October 2017. Presentation Summary LendingClub runs 400+ microservices that comprise its online marketplace lending platform, the largest in America. Every one of these services has been developed,… Read more →

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Journey Planning… And Why I Love Cypher

Editor’s Note: This presentation was given by Adam Cowley at GraphConnect Europe in May 2017. Presentation Summary Adam Cowley wanted to create a door-to-door journey-planning tool with Cypher that would allow him to accurately map a trip via train, bus,… Read more →

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FOSDEM 2019: Join Us in the Graph Developer Room!

Like every year, the fall conference season is in full swing when we’re already preparing for the next batch of conferences in spring 2019. We’re happy to announce that the graph processing and graph database developer room was accepted again… Read more →

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This Week in Neo4j – Weighted PageRank, Backups on Kubernetes, Modeling Financial Risks

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we work out the best tennis player in the world using weighted PageRank, we… Read more →

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Microservice and Module Management with Neo4j

Editor’s Note: This presentation was given by John Lavin at GraphConnect New York in October 2017. Presentation Summary Refactoring monolithic applications into microservices requires putting thought into managing code and its dependencies. At Vanguard Group, some of the existing Java… Read more →

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Imperative vs. Declarative Query Languages: What’s the Difference?

The evolution of programming languages has grown in parallel with the evolution of computing itself, with new languages being created with each new advance and paradigm shift. After all, if language shapes how we view reality, then changes in computing… Read more →

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Which GraphConnect Training Should You Take? [Quiz]

It’s that time of year again. In less than five weeks, Emil will be getting on stage at GraphConnect 2018 in the heart to Times Square, NYC and announcing the new release of….wow, I think we’re getting a little ahead… Read more →

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The Neo4j JDBC Driver 3.3.1 Release Is Here [+ Examples]

Our team at LARUS has been quite busy since the last JDBC driver release. Today, we’re happy to announce the 3.3.1 release of the Neo4j-JDBC driver. The release has been upgraded to work with recent Neo4j 3.3.x versions and Bolt… Read more →

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Data Profiling: A Holistic View of Data using Neo4j

Summary Data profiling is a widely used methodology in the relational database world to analyse the structure, contents and metadata of a data source. Generally, data profiling consists a series of jobs executed upon the data source to collect statistics… Read more →

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Beta Release: Java Driver with Async API for Neo4j

Introduction In this article I would like to introduce the new 1.5.0-beta03 pre-release version of the Bolt Java driver for Neo4j which is now built on an asynchronous, Netty-based infrastructure. Previous versions of the driver used blocking I/O, which meant… Read more →

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