The 5-Minute Interview: Brad Brech, CTO of Solutions, IBM

This week’s 5-minute interview is with Brad Brech, the CTO of Solutions at IBM. I caught up with Brad for a video interview at GraphConnect San Francisco. Q: Please tell us what you do at IBM and a little bit… Learn More →

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The Sustainable Competitive Advantage of Connected Data

As data sizes and customer expectations accelerate at lightning speed, how can your business achieve sustainable competitive advantage? By unlocking the value of data relationships – in both new and reimagined applications – your enterprise can easily improve performance, simplify… Learn More →

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How Graph Databases Ensure Sustainable Competitive Advantage

Where does sustainable competitive advantage come from? It’s not from data volume or velocities, but from the knowledge of data relationships. Even three years ago, you may not have given your database choice much thought – after all, if you… Learn More →

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From Good to Graph: Choosing the Right Database

For many of us, it feels like software development has well and thoroughly moved into the NoSQL database era. However, recent studies suggest that adoption is still as low as 20%. Personally, I joined the NoSQL movement in 2008 when… Learn More →

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Integration Testing with Neo4j using C# [Community Post]

Unlike prototypical unit testing which is designed to focus on small units of isolated code, integration testing is a type of testing which is typically designed to test interactions between two or more interconnected parts of a software system. A… Learn More →

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Graph Databases for Beginners: Other Graph Data Technologies

Whether you’re new to the world of graph databases or an old pro, it’s easy to assume there’s only a few types of graph database technologies. In reality, it’s one of the most diverse sectors of the NoSQL ecosystem. In… Learn More →

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Graph Databases for Beginners: A Tour of Aggregate Stores

The world of NoSQL databases is far from uniform. Unlike relational databases (RDBMS) which are fairly uniform, the ecosystem of NoSQL technologies brims with diversity. In order to understand the trade-offs of each NoSQL database, it’s essential that we tour… Learn More →

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Graph Databases for Beginners: ACID vs. BASE Explained

When it comes to NoSQL databases, data consistency models can sometimes be strikingly different than those used by relational databases (as well as quite different from other NoSQL stores). The two most common consistency models are known by the acronyms… Learn More →

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Graph Databases for Beginners: Why We Need NoSQL Databases

As the problems with SQL-based relational databases have become all to clear, there’s been a meteoric rise in the popularity of a new family of data storage technologies known as NoSQL. NoSQL is a cheeky acronym for Not Only SQL… Learn More →

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Impossible Is Nothing: The History (& Future) of Graph Data [GraphConnect Recap]

Editor’s Note: Last May at GraphConnect Europe, Jim Webber – Chief Scientist at Neo Technology – gave this inspiring (and nerdy) keynote talk on the history and future of graph data. Register for GraphConnect San Francisco to hear more speakers… Learn 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… Learn More →

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Graph Databases for Beginners: Why Data Relationships Matter

We live in an ever-more-connected world, and data relationships, will only increase in years to come. If your business is to succeed in a highly connected world, you must learn to leverage those connections for all they’re worth – but… Learn More →

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Graph Databases for Beginners: Why Graphs Are the Future

So you’ve heard about graph databases and you want to know what all the buzz is about. Are they just a passing trend – here today and gone tomorrow – or are they a rising tide your business and your… Learn More →

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The Developer’s World of Data: An Intro to Graph Databases [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.] Have you ever wondered: What exactly are graphs useful for? How do they influence the world… Learn More →

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Case Study: How KinCards Used Neo4j to Revolutionize Business Cards

Business cards: We forget them, lose them or run out of them – usually when we need them most. Just think how many times you’ve said, “I’m sorry. I don’t have my business cards with me,” or “I just ran… Learn More →

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The Secret to More Efficient Data Science with Neo4j and R [OSCON Preview]

It’s a sad but true fact: Most data scientists spend 50-80% of their time cleaning and munging data and only a fraction of their time actually building predictive models. This is most often true in a traditional stack, where most… Learn More →

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