10 Things You Can Do With Cypher That Are Hard With SQL

SQL has been around for ages. We don’t want to belittle this powerful language, but there are some things that just make more sense in Cypher.

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Fraud Detection: Finding the Needle in a Haystack with Knowledge Graphs

Find out how Neo4j and cloud technology helps detect and identify repeat offenders who bring counterfeit items into Africa regularly.

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You Want Some Join Context? Neo4j Has You Covered

Discover how graphs optimize your joins and provide additional, mission-critical context to your data relationships.

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This Week in Neo4j – GraphXR, CARD, Relational vs. Graph, Azure Functions, Neo4j Spring Data 6, Load JSON, Videos Galore

Hello, everyone! We hope that some of you were able to attend the hands-on training sessions that the developer relations team members conducted last week. We had a great turnout for these sessions, which were recorded. This week, we feature… Read more →

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The Neo4j BI Connector: Performance

Read this blog to find out about Neo4j performance for anyone accessing data through the Neo4j BI Connector.

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Graph Analytics for Business Users: 5-Minute Interview with Robert Allison of Kineviz

Check out this 5-minute interview with Robert Allison, Director of Product at Kineviz, as he discusses their products and graph analytics.

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Easy Explainability: 5-Minute Interview with Calin Constantinov

Check out this week’s 5-Minute Interview with Calin Constantinov, technical lead at Endava, about the easy explainability of graphs.

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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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Missed Connections: A Tale of a Porsche, Paul Newman and a Relational Database

Discover the benefits of a graph database via a story about auctioning off the Porsche 935 Paul Newman co-drove to a second place in the 1979 LeMans race.

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Neo4j Announced the Availability of its Neo4j BI Connector

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Getting Started with the Neo4j BI Connector

Learn how to get started with the Neo4j BI Connector, which provides easy access to Neo4j datasets from popular BI tools like Tableau and more.

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Neo4j gives its graph database a major enterprise facelift

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How We Mined More Than 715,000 Luanda Leaks Records

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Deep Access Control: 5-Minute Interview with Manish Jain

In this week’s five-minute interview (conducted at GraphTour DC 2019), we discuss how Manish Jain and his team at NTT Data use Neo4j.

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Graph Hyper-Growth Ahead: 5-Minute Interview with Kyle McNamara

Check out this 5-minute interview with Kyle McNamara, CEO, Americas at GraphAware, about how GraphAware works alongside Neo4j.

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Streaming Graphs: Combining Kafka and Neo4j

If you’re looking for the basics on how to turn streams into graphs with Neo4j and the Neo4j-Streams plugin, you’ve come to the right place.

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Turning Data Into Actionable Knowledge: 5-Minute Interview with David Meza

Check out this 5-minute interview with David Meza, Chief Knowledge Architect at Johnson Space Center, about how Neo4j has helped NASA.

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Bringing the Newly Approved GQL Project Into Focus

Learn more about the recently approved GQL project to to create a new declarative property graph query language and next steps.

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GQL Is Now a Global Standards Project alongside SQL

Learn how Graph Query Language (GQL) has just been approved to become an international standards project and what’s next for this graph database tech.

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Blazing Fast Recommendations: 5-Minute Interview with Tim Hanssen

Check out this 5-minute interview with Tim Hanssen, Founder and CTO of Mediaconnect, who uses Neo4j to build a real-time recommendation engine.

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Collaborative Technology Intelligence Platform

Discover how DuPont uses Neo4j to solve global challenges and share information with its diverse group of end users including scientists and engineers.

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Accelerating Digital Transformation at CA Technologies with Neo4j

Discover how CA Technologies used Neo4j to share enriched data between their sales, development and IT teams to create a company-wise database.

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