Graph Databases for Beginners: Data Modeling Pitfalls to Avoid

With the advent of graph database technology, data modeling has become accessible to masses. Mapping business needs into a well-defined structure for data storage and organization has made a sortie du temple (of sorts) from the realm of the well-educated… 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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The Next Generation of Service Assurance:
Your Network Is a Graph

Service complexity is exploding. Communication Service Providers (CSPs) need a complete view of their network and its myriad interdependencies to drive real-time decisions and predict the impact of changes on the user experience. A native graph approach makes sense of… 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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Connecting the Tech Stack: 5-Minute Interview with Tim Ward, CEO at CluedIn

“Connected data is always more interesting than disconnected data, especially when you’re wanting to do something like we do,” said Tim Ward, CEO at CluedIn. For Tim, it’s all about flexibility, scalability and resilience. As the CEO (and an engineer)… Read more →

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The ROI on Connected Data:
Extract More Value from Existing Data Using Graphs [+ Telia Case Study]

From LinkedIn to Facebook to Google, top companies are driving their businesses using graphs. And use cases span industries as well. What those new to graph technology may not understand is that creating a graph does not require starting from… Read more →

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The ROI on Connected Data:
The Overlooked Value of Context for Business Insights [+ Airbnb Case Study]

Your data is inherently valuable, but until you connect it, that value is largely hidden. Those data relationships give your applications an integrated view that powers real-time, higher-order insights traditional technology cannot deliver. In this series, we’ll examine how investments… Read more →

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DevOps on Graphs:
The 5-Minute Interview with Ashley Sun, Software Engineer at LendingClub

“Basically, anything you can think of in your infrastructure, whether it’s GitHub, Jenkins, AWS, load balancers, Cisco UCS, vCenter – it’s all in our graph database,” said Ashley Sun, Software Engineer at LendingClub. DevOps at LendingClub is no easy feat:… Read more →

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Network Science: The Hidden Field behind Machine Learning, Economics and Genetics That You’ve (Probably) Never Heard of – An Interview with Dr. Aaron Clauset [Part 2]

Last week, in part one of my interview with Dr. Aaron Clauset, we reviewed how network science was evolving and how it’s dismantling preconceived notions about networks in general. Clauset also stressed the crucial role of interdisciplinary collaboration when it… Read more →

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Retail & Neo4j: Network & IT Management for Retailers

In order to re-invent the value chain from linear to circular and highly connected, retailers need to modernize their IT infrastructure rapidly and cost-effectively. In addition, web-based retailers must find a way to handle scale and sophistication to remain competitive.… Read more →

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Cybersecurity & Graph Technology: An Excellent Fit

Cybersecurity We are becoming increasingly dependent on technology. Yet, without diligent attention paid to cybersecurity, technology is vulnerable to unauthorized access, change or even destruction. These vulnerabilities pose threats to our individual and collective safety, security and human and economic… Read more →

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Financial Services & Neo4j: Network & IT Infrastructure Monitoring

Discovering, capturing and making sense of complex interdependencies is central to managing IT infrastructure more effectively, and it is also a critical part of running the businesses IT serves. Whether it’s optimizing a network or an application infrastructure, managing change… Read more →

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Advantages of a Graph-Based Metadata Repository [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.] Many higher education institutions, like the University of Washington (UW), are implementing large, complex, Software-as-a-Service solutions… Read more →

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Graph-Based Enterprise Architecture Management

Today, enterprise architects are required to deliver insights quickly and make sense of large amounts of enterprise data (business knowledge, application information, technology assets, etc.). In this process, understanding and modeling interdependencies between entities is key. With relationships at the… Read more →

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Custom Security Plugins & User-Defined Procedures in Neo4j Enterprise Edition [Security Series, Part 5]

When it comes to graph database security, it’s essential that you have the flexibility to customize every factor of authentication and authorization for your specific deployment. After all, no architecture or organization is the same, so you need the versatility… Read more →

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Query Management & Security Event Logging in Neo4j Enterprise [Security Series, Part 4]

No matter the size or scope of your graph database, it’s vital to maintain secure control of your data and to keep a record of security events. Starting in Neo4j 3.1 and all future releases, users will have increased control… Read more →

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How Will Graph Technology Propel the Internet of Things? [Virtual Panel]

The Internet of Things (IoT) is undoubtedly one of the greatest growing tides in technology today. The IoT sector is set to revolutionize everything from home appliances and self-driving cars to building management and smart farming. And while consumer-oriented IoT… Read more →

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Network Security & CMDBs: Why Graph Visualization Is Essential

You’re a security auditor. Your job is to secure your company’s network – you might as well be assigned to single handedly defend the entire Western Front. But unlike the armies of the Great War, you have an amazing tool:… Read more →

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Dependency Management with Neo4j at the Royal Bank of Scotland

Editor’s Note: This presentation was given by Stelios Gergiannakis at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: The legacy deployment process at RBS Challenges with integration in dependency management Why the RBS team chose… Read more →

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From the Neo4j Community: March 2016

Whew! With GraphConnect Europe now behind us, it’s time to look at all of the wonderful content published by the Neo4j community in the month of March before the Neo4j 3.0 announcement and Panama Papers coverage eclipsed everything else. If… Read more →

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The 5-Minute Interview: Ian Sinnott, Senior Software Engineer at TruSTAR

For this week’s 5-Minute Interview, I chatted with Ian Sinnott, Senior Software Engineer at TruSTAR Technology in San Francisco. Here’s what we talked about: Q: Talk to me about how you guys use Neo4j at TruSTAR. Ian Sinnott: TruSTAR’s whole… Read more →

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How We Use Neo4j to Manage Microservices at Veneto Banca

Thinking, designing and implementing an enterprise multi-channel architecture and platform is a challenging opportunity. For the last couple of years we’ve been involved in this huge project at Veneto Banca, and our mission was the innovation of the bank’s information… Read more →

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Building a Big Data Architecture for Cyber Attack Graphs

Editor’s Note: Last October at GraphConnect San Francisco, Steven Noel – Cyber Security Researcher at MITRE – delivered this presentation on how graph technology can help prevent and simulate cyber attacks. For more videos from GraphConnect SF and to register… Read more →

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RDBMS & Graphs: Relational vs. Graph Data Modeling

In some regards, graph databases are like the next generation of relational databases, but with first class support for “relationships,” or those implicit connections indicated via foreign keys in traditional relational databases. Each node (entity or attribute) in a native… Read more →

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Managing Microservices with Neo4j

Editor’s Note: Last October at GraphConnect San Francisco, Ashley Sun and Rob Schoening – from the DevOps team at Lending Club – delivered this in-depth presentation on their MacGyver platform for managing microservices with Neo4j. For more videos from GraphConnect… Read more →

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