Flexible Data Pipelines: 5-Minute Interview with Pat Patterson, Technical Director, StreamSets

“With Neo4j, we can run analyses across relationships. These analyses are not feasible or even possible when the data is spread out among different systems,” said Pat Patterson, Technical Director, StreamSets. In this week’s five-minute interview, we discuss how StreamSets… Read 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… 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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Decyphering Your Graph Model

Editor’s Note: This presentation was given by Dom Davis at GraphConnect Europe in May 2017. Presentation Summary Graphs really are everywhere, and building your graph database model from the highest possible vantage point using natural language – and the language… Read more →

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Powering Recommendations with a Graph Database: Connect Buyer and Product Data

Effective recommendations increase revenue and drive up average order value. But delivering highly relevant, real-time recommendations requires as much context as possible. Connecting the user to the perfect recommendation is an art. In this three-part series, we explore using recommendations… Read more →

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Graph Databases for Beginners: Why a Database Query Language Matters (More Than You Think)

Languages (the natural, human kind) shape how you view the world. From color to time to gender relations, there’s no escaping how language limits (or expands) your worldview. Words are the categories and labels that we use to process and… 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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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: Differentiating Your Solution

Successful companies are embracing next-generation service assurance that leverages a comprehensive, real-time view of services and infrastructure with an eye on end-user experiences, new service creation and predictive modeling. But to compete in today’s market, communication service providers need a… 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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Retail & Neo4j: Pricing & Revenue Management

It’s never been easier for customers to comparison shop. In a matter of minutes, customers can compare prices for a specific product across a dozen stores — and all from the comfort of home. They can even compare prices and… Read more →

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Retail & Neo4j: Supply Chain Visibility & Management

Now more than ever, supply chains are vast and complex. Products are often composed of different ingredients or parts that move through different vendors, and each of those parts may be composed of subparts, and the subparts may come from… Read more →

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Summer 2017 Release of the APOC Procedures Library

It’s summertime, but that doesn’t mean we’re less active building cool stuff for you to use with Neo4j. If you haven’t heard of APOC yet – dubbed “Awesome Procedures On Cypher” – it’s a Swiss Army knife of useful utilities… Read more →

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Financial Services & Neo4j: Fraud Detection

Identifying and stopping fraudulent activity is harder than ever for financial services organizations. Standard anti-fraud technologies — such as a deviation from normal purchasing patterns — use discrete data. This is useful for catching individual criminals acting alone, but discrete… Read more →

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The 5-Minute Interview: Benjamin Nussbaum, Co-Founder of GraphGrid

“When we first started exploring Neo4j’s native graph database, we saw benefits in how the data was stored because it paralleled real-world connected data,” said Benjamin Nussbaum, Co-Founder at GraphGrid. He and his team realized that the future of data… 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 5-Minute Interview: David Brian Ward, CEO & Founder, Telegraph Hill Software

“As with any kind of software, the best for the job is one whose function matches your data structures,” said David Brian Ward, CEO and Founder of Telegraph Hill Software. David and his team were searching for a tool that… Read more →

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Announcing Neo4j in the Microsoft Azure Marketplace [Azure Series, Part I]

We are excited to announce the availability of Neo4j in the Microsoft Azure Marketplace. Neo4j is a native graph database that stores data as graphs rather than in tables so you can traverse any depth of data in real time… 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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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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Mativy Task Delegation System using Neo4j

Editor’s Note: This presentation was given by Miha Žagar at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: Using ants to develop an efficient task delegation model What the delegation system looks like under the… Read more →

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JCypher: A Java Domain-Specific Language (DSL) for Cypher

Editor’s Note: This presentation was given by Wolfgang Schützelhofer at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: An Introduction to JCypher Domain Mapping Executing domain queries using JCypher The future of JCypher – What… Read more →

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The 5-Minute Interview: Scott Grimes, Senior Director of Revenue Management at Marriott International

“With Neo4j, we’ve been able to take our average processing time from over four minutes to about 13 seconds,” said Scott Grimes, Senior Director of Revenue Management at Marriott International. When Marriott customers search for hotel rooms for certain dates… Read more →

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