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… Read more →

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If You Build It They Will Come: Starting a GraphDB Meetup Where There Is None

About seven years ago, I came across Neo4j while trying to find a way to visually represent stored information and make connections like the human brain does. At the time, I only really needed to build an awesome recommendation engine… Read more →

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Interchangeable Parts: 5-Minute Interview with Preston Hendrickson, Principal Systems Analyst at CALIBRE

“It’s easy to teach people to use Neo4j. It’s hands-on training, not death by PowerPoint,” said Preston Hendrickson, Principal Systems Analyst at CALIBRE. CALIBRE works with large government customers, including the U.S. Army, where maintenance, operation and support costs of… Read more →

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Graph Databases for Beginners: Why We Need NoSQL Databases

NoSQL databases are one of those things in life that are unhelpfully defined only by what they are not rather than by what they are, i.e., an anti-definition. NoSQL is a cheeky acronym for Not Only SQL – or more… Read more →

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Chip Design on Graphs: 5-Minute Interview with Chuck Calio, Offering Manager, IBM PowerAI

We use Neo4j to design our next-generation Power chips, said Chuck Calio, Offering Manager IBM PowerAI at IBM. The future of graph technology is in AI, but it’s not the only use case. From designing hardware (naturally a graph) to… 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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Powering Recommendations with a Graph Database: Proven Business Benefits [+ Case Studies]

Relevant, real-time recommendations drive revenue, but they are challenging to deliver. That’s because good recommendations require bringing together so much data, surfacing the relationships between all that data and delivering just the right suggestion in context and in the moment.… 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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Financial Risk Reporting: Building a Risk Metadata Foundation

Regulations, such as BCBS 239, are driving banks to reexamine the way they manage financial risk management data. Building a connected data foundation supports a world of innovative uses of your enterprise data – including 360-degree visibility of your customers,… Read more →

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Casinos on Graphs: 5-Minute Interview with
Joe Stefaniak, CEO of IntelligentTag

“Especially when it comes to the financial sector or gaming, people need answers in real time,” said Joe Stefaniak, CEO of IntelligentTag. From slots and games to guest services to financial systems, casinos are chock full of data sources. Whether… Read more →

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Graph Databases for Beginners: The Basics of Data Modeling

For six-ish months of my life, I was a database developer. Starting out, the first thing I learned was data modeling. Our team was using a relational database (RDBMS), specifically MySQL (we later switched to Postgres). Like a lot of… Read more →

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Don’t Choose One Database… Choose Them All!

Editor’s Note: This presentation was given by Dave da Silva at GraphConnect Europe in May 2017. Presentation Summary Capgemini, a global leader in consulting, technology and outsourcing services, believes that using multiple databases improves your ability to unlock the business… Read more →

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Graph Databases for Beginners: Why Connected Data Matters

“It’s not what you know, it’s who you know.” Sound familiar? Depressingly, we all know it’s true: The boss’s son has a better shot at that corner office than you do. That’s because in business – and in life –… Read more →

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Graph Databases for Beginners: Why Graph Technology Is the Future

The world of graph technology has changed (and is still changing), so we’re rebooting our “Graph Databases for Beginners” series to reflect what’s new in the world of graph tech – while also helping newcomers catch up to speed with… Read more →

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Graphs at Scale: Scale Out Neo4j Using Apache Mesos and DC/OS

Editor’s Note: This presentation was given by Johannes Unterstein at GraphConnect Europe in May 2017. Presentation Summary In this talk, Johannes Unterstein walks you through the mechanics and advantages of using Apache Mesos and DC/OS (data center operating system) for… Read more →

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Getting Started with Data Analysis using Neo4j [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.] Why Are We Doing This? Data analysis is the phenomenon of dissecting, structuring and understanding data.… Read more →

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A Path to the Graph: Data Integration That Begins without Writing Any Code

Most people understand the problem in any large organization today is that the data is in silos. Data is disconnected, and as a result, a report from any one source is incomplete and not necessarily actionable to the extent it… Read more →

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A Note on Native Graph Databases

It’s fun to watch the graph database category evolve. From being a seemingly niche category a decade ago (despite the valiant efforts of the Semantic Web community) to a modest – but important – pillar of the data world as… Read more →

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Amazon Eating Your Lunch? What Data-Driven Retailers Can Do About It [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.] Nearly every analyst of the retail industry would consider Amazon as the source of the declining… Read more →

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Graph Algorithms: Make Election Data Great Again

Editor’s Note: This presentation was given by John Swain at GraphConnect San Francisco in October 2016. Summary In this presentation, learn how John Swain of Right Relevance (and Microsoft Azure) set out to analyze Twitter conversations around both Brexit and… Read more →

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Neo4j JDBC Driver 3.0.3 & 3.1.0 Released

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Click here to skip straight to the JDBC driver announcement. During his opening keynote address, Emil… Read more →

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The Emergence of the Enterprise DataFabric

Editor’s Note: This presentation was given by Mark Kvamme and Clark Richey at GraphConnect San Francisco in October 2016. Presentation Summary Enterprises are faced with a variety of challenges when it comes to managing data, largely due to the disparate… Read more →

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The Engineering Evolution of Neo4j into a Native Graph Database

Hi everyone. My name is Dr. Jim Webber. I’m Neo4j’s chief scientist, and I’d like to take a few minutes to talk to you about Neo4j’s evolution from an engineering point of view. Our Origin Story: Overcoming Complicated SQL Queries… Read more →

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The Impact of Graph-Powered Business Leader Social Networks

Editor’s Note: This presentation was given by Tilo Walter at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: How to use graphs to leverage and navigate business leader social networks Combining Kantwert and Neo4j to… Read more →

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Graph-Specialized ETL: Taking Citizens into the Graph and Keeping It up to Date

Editor’s Note: This presentation was given by İrfan Nuri Karaca at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: The exponentially growing pool of data worldwide How graphs solved Kale Yazılım’s data challenges Trends in… Read more →

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