This Week in Neo4j – Versioning Approaches, Schema Based Access-Control, FOSDEM 2020, Streamlit

Check out this week’s TWIN4J blog wrapup of happenings around the Neo4j community sphere, including the release of Neo4j 4.0.

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Ten 2020 Visions for Data Modelers

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Transforming Health Information Technology with a Knowledge Graph

Learn how graph technology aids with the efficiency of electronic data entry in the healthcare industry, featuring vascular surgeon Christopher Wixon.

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NoSQL Data Modeling: 5-Minute Interview with Pascal Desmarets

Check out this 5-minute interview with Pascal Desmarets, Founder and CEO of Hackolade, as he talks about NoSQL data modeling with Neo4j.

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Fraud Detection Using Graph Technology

Graph technology refers to the storage, management and querying of data graphical representation. Here, your indices become vertices and your relationships are converted into edges. Through analysis of the fine-grained relationships, by using graph analysis, you can find out oddities… Read more →

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5 Ways to Tackle Big Graph Data with KeyLines and Neo4j

Understanding big graph data requires two things: a robust graph database and a powerful graph visualization engine. That’s why hundreds of developers have combined Neo4j with the KeyLines graph visualization toolkit to create effective, interactive tools for exploring and making… Read more →

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This Week in Neo4j – Neo4j ETL Guide Refresh, New Release of APOC and JDBC Driver, Blockchain Analytics

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have releases of APOC and the Neo4j JDBC Driver, a paper explaining how… Read more →

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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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Using Neo4j to Investigate Connections in the U.S. Healthcare System

Editor’s Note: This presentation was given by Yaqi Shi at GraphConnect San Francisco in 2016. Presentation Summary In this presentation, Yaqi Shi describes the process of developing Health-Graph, a model of how some of the key elements in the healthcare… Read more →

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GDPR Compliance: 4 Simple Steps to Building a GDPR Solution

According to PwC, 92 percent of multinational companies cite compliance with the looming General Data Protection Regulation (GDPR) data privacy regulations as a top data-protection priority. More than three-quarters of those organizations have allocated over a million dollars for related… Read more →

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This Week in Neo4j – Property Based Access Control, Intro to Cypher, User Path Analysis

Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have a sneak peak at property based access control in Neo4j 3.4, user… Read more →

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Achievement Unlocked:
1,000 Neo4j Certified Professionals

In January 2016 we launched the first-ever Neo4j Certification for professionals so that Neo4j experts could prove their know-how, and this week saw the 1000th person pass the test. The 1000th person to pass the test was Gábor Szárnyas, our… Read more →

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9 Reasons Why You Need to Attend GraphConnect Europe in 2017

We’ve been busy on this side of the Atlantic and we’re happy to formally invite you to GraphConnect Europe taking place at the Queen Elizabeth II Centre in London on 11th May 2017. It will certainly be Europe’s largest graph… Read more →

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Graph Databases in Drupal: A Neo4j Module with Rules Integration

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Intro to Drupal Drupal, an open source CMS written in PHP, is the second-most used content… Read more →

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The 5-Minute Interview: Tim Williamson, Data Scientist, Monsanto

For this week’s 5-Minute Interview, I sat down with Tim Williamson, a Data Scientist at Monsanto. I interviewed Tim at GraphConnect San Francisco after his popular presentation: “Graphs Are Feeding the World.” Tell us a little bit about your role… Read more →

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My Neo4j Summer Road Trip to the World of Healthcare [Part 3]

Part 3: Cleaning CSV Files in Bash Hi friends and welcome back to my summer road trip through the world of healthcare. For those who are new to my adventure, this is the third part of the blog series. Catch… Read more →

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How Go + Neo4j Enabled the Financial Times to Deliver at Speed

Editor’s Note: This presentation was given by Dan Murphy from the Financial Times at GraphConnect Europe in April 2016. Here’s a quick recap of what he covered: The transition of media from print to digital, particularly for the Financial Times… Read more →

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A Graph-Specialized ETL: Taking Citizens into a Graph and Keeping It Up to Date

In this post I want to talk about the challenges we faced during our graph journey and how we overcame them. The outline of this post is as follows. Why do we need ETL and sync from SQL to a… Read more →

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Accelerate Your Career with This Neo4j Course by Edureka [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.] The Evolution of the Neo4j Graph Database In the past, the data industry stored information in… Read more →

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RDBMS & Graphs: SQL vs. Cypher Query Languages

When it comes to a database query language, linguistic efficiency matters. Querying relational databases is easy with SQL. As a declarative query language, SQL allows both for easy ad hoc querying in a database tool as well as specifying use-case… 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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