data model Archives - Neo4j Graph Database Platform

Graph Technology Is in the POLE Position to Help Law Enforcement [Video]

By Bryce Merkl Sasaki | April 19, 2018

A great graph database use case that is starting to emerge is the use of graph technology as a way to better support the police and other law enforcement officials, which also has applications for other security and investigative use… Read more →

Keywords: Connected Data • crime data • data model • Data Visualization • government agencies • graph algorithms • graph technology • law enforcement • POLE • tableau

Analyzing Twitter Hashtag Impact using Neo4j, Python & JavaScript

By Bryce Merkl Sasaki | October 13, 2017

This is the first demo I developed with Neo4j. The objective of the demo is to open the discussion about graph databases, Neo4j, big data, analytics and IBM Power Systems with our global customers. I decided to use Twitter as… Read more →

Keywords: bolt • data import • data model • graph algorithms • graph visualization • ibm power systems • javascript • machine learning • python • twitter

A Note on Native Graph Databases

By Bryce Merkl Sasaki | September 21, 2017

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 →

Keywords: column store • data model • document store • graph database • graph technology • multi-model database • native computing • native graph database • neo4j • semantic web

Enabling the Cisco Decoder Ring with Neo4j

By Rachel Howard | May 18, 2017

Editor’s Note: This presentation was given by Andrew Chappell at GraphConnect San Francisco in October 2016. Here’s a quick review of what he covered: What is a decoder ring, and why do you need one? The power of hierarchy management… Read more →

Keywords: business rules engine • Cisco • crowdsourcing • data integrity • data model • Data Relationships • enterprise data services • ERP • graphconnect • Hierarchy Management • supply chain

Mativy Task Delegation System using Neo4j

By Rachel Howard | April 18, 2017

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 →

Keywords: data model • graph database • graph technology • graphconnect • neo4j • rdbms • relational database • synchronization cycle • task delegation

Using Neo4j for Call Detail Records (CDR) Analytics [Community Post]

By Bryce Merkl Sasaki | April 13, 2017

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Introduction Analysis of call detail records (CDR) provides greater insights into the telecommunications activity like inbound… Read more →

Keywords: Big Data • call detail records • CDR data • churn reduction • cypher • data model • Microsoft SQL Server • telecom industry • telecom provider • telecommunications

The 5-Minute Interview: Clark Richey, CTO & Co-Founder of FactGem

By Rachel Howard | March 24, 2017

“The thing we love most about Neo4j is that it’s truly the only native property graph on the market that does what it says it’s supposed to do,” said Clark Richey, CTO and Co-Founder of FactGem. There are a number… Read more →

Keywords: 5-minute interview • cypher • data insights • data model • data warehouse • graph data visualization • native graph database • native property graph • Neo4j Browser • neo4j training

Pushing the Evolution of Software Analytics with Graph Technology

By Rachel Howard | March 23, 2017

Editor’s Note: This presentation was given by Dirk Mahler at GraphConnect Europe in April 2016. Topics:
-The challenges of traditional software analytics tools
-An introduction to jQAssistant, powered by Neo4j
-The benefits of modeling software as a graph

Keywords: cypher • data model • graph data model • graph query language • graphconnect • java • jqassistant • maven • Software Analytics • spring

The 5-Minute Interview: Andrés Natanael Soria, Senior Software Architect at Cablevisión

By Rachel Howard | March 10, 2017

“Due to native graph storage, the Neo4j queries run really quickly, which is amazing,” said Andrés Natanael Soria, Senior Software Engineer at Cablevisión Fibertel. The company uses a broadband network to provide cable television and internet services to customers throughout… Read more →

Keywords: 5-minute interview • apache kafka • data model • docker • fraud detection • impact analysis • native graph storage • network failure detection • Recommendation Engine • sql

Just for Flask & React.js Developers: A New Neo4j Movies Template

By Bryce Merkl Sasaki | February 28, 2017

Introduction Let’s jump right into it. You’re a Python developer interested in Neo4j and want to build a web app, microservice or mobile app. You’ve already read up on Neo4j, played around with some datasets, and know enough Cypher to… Read more →

Keywords: bolt • cypher • data model • express.js • flask • microservice • mobile app • python • React.js • web app

The 5-Minute Interview: Wouter Crooy, Technical Lead at albumprinter(Albelli)

By Rachel Howard | February 17, 2017

“Neo4j stood out of the NoSQL movement as having all the advantages of traditional relational databases,” said Wouter Crooy, Technical Lead at albumprinter. While relational databases work well for some use cases, albumprinter relies on a polyglot persistence architecture to… Read more →

Keywords: 5-minute interview • Albelli • albumprinter • data model • graph database • neo4j • nosql • polyglot persistence • Recommendation Engine • relational database • Scalability

Collaborative Filtering: Creating the Best Teams Ever

By Rachel Howard | February 16, 2017

Editor’s Note: This presentation was given by Maurits van der Goes at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: Why do we need virtual teams? How to develop a graph recommendation engine How to… Read more →

Keywords: collaborative filtering • cosine similarity • cypher • data model • Graph Algorithm • GraphAware • graphconnect • MongoDB • Recommendation Engine • virtual team

The 5-Minute Interview: Cindee Madison, Data Engineer at Gallium Artistic Services

By Rachel Howard | February 3, 2017

“Using artificial intelligence, we’re creating what you could call a social network of the mind,” says Cindee Madison, Data Engineer at Gallium Artistic Services. With tools such as IBM Watson — which provides the technology that allows robots to check… Read more →

Keywords: 5-minute interview • ai • artificial intelligence • data model • Data Relationships • graph database • Graph Theory • IBM Watson • relational database • social network

The 5-Minute Interview: David Meza, Chief Knowledge Architect, NASA

By Rachel Howard | November 18, 2016

For this week’s 5-Minute Interview, I chatted with David Meza, Chief Knowledge Architect at NASA Johnson Space Center in Houston. I caught up with David at GraphConnect San Francisco. Here’s what we talked about: Tell us a little bit about… Read more →

Keywords: 5-minute interview • Big Data • data model • Data Relationships • graph database • nasa • relational database • relational model • sql • unstructured data

Who Cares What Beyoncé Ate for Lunch?

By Rachel Howard | November 16, 2016

Editor’s Note: This presentation was given by Alicia Powers at GraphConnect Europe in April 2016. Here’s a quick review of what she covered: The global obesity epidemic How to verify your data model The key components of a recommendation engine… Read more →

Keywords: Beyoncé • CDC • center for disease control • data model • graph data model • graphconnect • r • real-time recommendations • recommendation algorithm • Recommendation Engine

Why We Just Raised a $36M Series D – and What’s Next for the Graph Space

By Bryce Merkl Sasaki | November 10, 2016

I’m incredibly excited to announce that the Neo4j team has just raised $36 million in a series D funding round. I am glad to welcome Greenbridge Investment Partners to the graph of Neo4j investors, and I’d like to thank all… Read more →

Keywords: connected enterprise • data model • DB Engines • graph • graph database • graph technology • graphconnect • Neo4j 3.1 • nosql • open source

How Neo4j Co-exists with Oracle RDBMS: An Introduction to Graphs

By Bryce Merkl Sasaki | November 7, 2016

Let’s be honest. No one can argue about the value of the Oracle RDBMS database. Oracle is and continues to be the mainstay for enterprise applications. However, another – but not contradictory – truth remains: IT organizations need capabilities beyond… Read more →

Keywords: ACID • data model • graph data model • graph database • Master Data Management • neo4j • Oracle • Oracle RDBMS • rdbms • relational database

Enterprise Data Management with Graphs

By Bryce Merkl Sasaki | October 26, 2016

Editor’s Note: This presentation was given by Axel Morgner at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: Data management challenges faced by enterprises The first step to enterprise data management: data integration The best… Read more →

Keywords: content management system • data integration • data management • data model • document management • enterprise data management • graph platform • graphconnect • microservices • Structr

How Scribestar Uses Neo4j for Faster Coding Cycles

By Bryce Merkl Sasaki | October 24, 2016

Editor’s Note: This presentation was given by Srinivas Suravarapu at GraphConnect Europe in April 2016. Here’s a quick review of what he covered: Perfecting your database architecture The Scribestar domain model Building versioning into the data store Tricks and tips… Read more →

Keywords: .NET • content management system • cypher • data model • database architecture • document store • graphconnect • neo4j • polyglot persistence • RavenFS

The 5-Minute Interview: Luanne Misquitta, Senior Consultant at GraphAware

By Bryce Merkl Sasaki | August 19, 2016

For this week’s 5-Minute Interview, I interviewed Luanne Misquitta, Senior Consultant at GraphAware. Luanne and I caught up at GraphConnect Europe last April. Here’s what we talked about: Can you tell us a little bit about Spring Data Neo4j? Luanne… Read more →

Keywords: 5-minute interview • data model • graph database • neo4j ogm • nosql • Oracle • people management • rdbms • spring data neo4j • spring framework

The 5-Minute Interview: Paul Jongsma, Founder of Webtic

By Bryce Merkl Sasaki | August 12, 2016

For this week’s 5-Minute Interview, I spoke with Paul Jongsma, Founder of Webtic. Paul and I sat down together at GraphConnect Europe last April. Here’s what we talked about: Can you tell me a little bit about how you guys… Read more →

Keywords: 5-minute interview • cypher • data model • graph database • neo4j 3.0 • rdbms • relational database • sql • web solutions • Webtic

The 5-Minute Interview: Dr. Andreas Weber, Semantic PDM Consultant, Schleich

By Bryce Merkl Sasaki | August 5, 2016

For this week’s 5-Minute Interview, I chatted with Dr. Andreas Weber, the former Vice President of Operations at Schleich and now an independent semantic PDM consultant in Germany. I caught up with Dr. Weber at GraphConnect Europe. Here’s what we… Read more →

Keywords: 5-minute interview • data model • graphconnect • manufacturing • Master Data Management • pdm • product data management • product management • schleich • Structr

Effective Bulk Data Import into Neo4j

By Bryce Merkl Sasaki | August 3, 2016

Mark Needham: Today we’re going to look at how to import a dataset from Stack Overflow into Neo4j: Stack Overflow is an online community where programmers both post and answer questions on a variety of developer topics. Neo4j has become… Read more →

Keywords: bulk data • cypher • data import • data model • graphconnect • json • Load CSV • Stack Exchange API • stack overflow • XML

Getting Started with Neo4j and Scala: An Introduction

By Bryce Merkl Sasaki | July 28, 2016

[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j. This was originally posted on the Knoldus blog and was used with permission.] Editor’s Note: In… Read more →

Keywords: AnormCypher • data model • Graph Data • graph database • graph technology • Knoldus • neo4j • rdbms • relational database • scala

Build Spring Data Neo4j 4.1 Applications Like a Superhero

By Bryce Merkl Sasaki | July 27, 2016

Editor’s Note: This presentation was given by Luanne Misquitta at GraphConnect Europe in April 2016. Here’s a quick review of what she covered: Features of the Neo4j Object-Graph Mapper (OGM) Features of Spring Data Neo4j 4.1 A Walkthrough of Building… Read more →

Keywords: bolt • data model • graphconnect • java • MongoDB • OGM • POJO • Spring Data • spring data neo4j • spring framework

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Tag Archives: data model