10 Tips for Creating Successful Graphs

Read this blog to get 10 insider tips on how to create a successful graph database. Download the book for even more valuable information.

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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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Performant Queries on Highly Connected, Growing Data

Querying networks in relational databases is often unintuitive. Explore how to use labels and leverage stored procedures for performance improvements.

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Connecting Healthcare

Learn about connecting healthcare data, including its challenges and how graph databases might be able to help solve healthcare’s wicked problems.

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Graph-Powered Digital Asset Management with Neo4j [Video]

Watch this webinar on how a graph platform provides advantages over traditional RDBMS in digital asset management, thereby driving business innovation.

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Toward AI Standards: Graph Technology as a Fabric for Context

Read this second blog in a series dedicated towards setting a standard for AI, and why graph technology weaves connections to create much-needed context.

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5 Noteworthy Use Cases of Graph Technology and Graph Analytics

When discussions about any technological concept begin to trend in online media and among business stakeholders, it is only natural to wonder whether it is all hype or whether the technology actually solves any real business problems. Gartner’s well-publicized hype… Read more →

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Enterprise AI for IT Ops: 5-Minute Interview with Clayton Ching, Global Head of Customer Success at Digitate

“I believe everyone in the IT ops space is going to have to implement graph data a lot sooner than they think,” said Clayton Ching, Global Head of Customer Success at Digitate. IT operations is complex, with thousands of systems… Read more →

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Metadata for Real People: 5-Minute Interview with Pieter Visser, Solutions Architect at the University of Washington

With metadata, everything’s connected. That’s what makes it interesting, said Pieter Visser, Solutions Architect at the University of Washington (at the time of the interview). At the University of Washington, the IT team serving the business tried more than one… Read more →

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Why Enterprises Are Abandoning RDBMS (and Adopting Graphs)

Relational databases (RDBMS) were conceived to digitize paper forms and automate well-structured business processes, and they are still extremely relevant today. But, many companies are choosing to explore other database options to solve some of their biggest challenges. Why? The… Read more →

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Neo4j: Real-World Performance Experience with a Graph Model [Community Post]

[As community content, this post reflects the views and opinions of the particular authors and does not necessarily reflect the official stance of Neo4j.] It’s All about Performance Ultimately it’s the performance of your company as a whole which determines… Read more →

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Why Graphs Are Essential To Today’s Master Data Management [NoSQL Now! Preview]

Rapid change is the only constant in today’s business environment. The limitations of traditional tools used for information and master data management (MDM) are increasingly exposed, and the graph database is a solution to many of these challenges and presents… Read more →

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New Neo4j Course: Stop Developing Databases the Hard Way! [Community Post]

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.]Back in early 2013, I was working on an RDBMS project with Java. The project goals required… Read more →

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5 Sure Signs It’s Time to Give Up Your Relational Database

Despite advances in computing, faster processors and high-speed networks, the performance of relational database applications is becoming slower and slower. These relational database performance problems are happening because of the rapid growth not only in the volume and velocity of… Read more →

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Bootstrapping a Recommendation Engine with Neo4j [OSCON Preview]

Timely, relevant recommendations are the bedrock of business success. No matter whether your startup needs to generate social, retail, logistics or content recommendations, you need a recommendation engine that delivers those perfectly appropriate suggestions in real time. Since you’re trying… Read more →

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Graph Databases, NOSQL, and Neo4j

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Tables to Graphs

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