Financial Risk Reporting: Graph Technology Is a Game Changer
By Jocelyn Hoppa
August 13, 2018|
Reading time: 5 minutes
How do you prevent another global financial crisis like the one in 2008? The answer lies in better visibility into the deep connections in risk data. Armed with an understanding of risk data lineage, financial houses could have limited their… Read more →
Keywords: Connected Data • data lineage • data management • data model • FIBO • financial risk reporting • financial services • Graph Databases • graph technology • risk metadata
Democratizing Data Discovery at Airbnb
By Jocelyn Hoppa
August 1, 2018|
Reading time: 16 minutes
Editor’s Note: This presentation was given by John Bodley and Chris Williams at GraphConnect Europe in May 2017. Presentation Summary Airbnb, the online marketplace and hospitality service for people to lease or rent short-term lodging, generates many data points, which… Read more →
Keywords: Airbnb • data discovery • data model • elasticsearch • graph database • graphconnect • python • siloed data • tableau • tribal knowledge
Graph Databases for Beginners: Data Modeling Pitfalls to Avoid
By Bryce Merkl Sasaki
July 31, 2018|
Reading time: 6 minutes
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 →
Keywords: Connected Data • cybersecurity • data model • data modeling • fraud detection • graph data model • graph data modeling • graph database • graph model • graph technology
Telia Zone: Scaling Neo4j to Millions of Homes with Kubernetes
By Jocelyn Hoppa
July 25, 2018|
Reading time: 13 minutes
Editor’s Note: This presentation was given by Rickard Damm and Lars Ericsson at GraphConnect Europe in May 2017. Presentation Summary Telia Zone is the Telia company’s router, which is used in approximately 1.5 homes in Sweden. Telia uses Neo4j with… Read more →
Keywords: ADSL • APIs • Causal Clustering • connected home • data model • graphconnect • Kubernetes • smart phone home platform • telecommunications • Telia Zone
Graph Databases for Beginners: The Basics of Data Modeling
By Bryce Merkl Sasaki
July 24, 2018|
Reading time: 8 minutes
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 →
Keywords: data model • data modeling • graph data model • graph database • graph technology • MySQL • Postgres • rdbms • relational data model • relational database
The Next Generation of Service Assurance: Differentiating Your Solution
By Jocelyn Hoppa
July 23, 2018|
Reading time: 5 minutes
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 →
Keywords: Connected Data • data model • Data Relationships • graph database • graph platform • graph technology • Master Data Management • relational database • service assurance solutions • telecommunications
Metadata for Real People: 5-Minute Interview with Pieter Visser, Solutions Architect at the University of Washington
By Jocelyn Hoppa
July 20, 2018|
Reading time: 4 minutes
With metadata, everything’s connected. That’s what makes it interesting, said Pieter Visser, Solutions Architect at the University of Washington (at the time of the interview). At the University of Washington, the IT team serving the business tried more than one… Read more →
Keywords: 5-minute interview • BI tools • cypher • data model • enterprise data warehouse • graph technology • metadata • Pieter Visser • Relational Databases • semantic discretionary access control
Graph Databases for Beginners: Why Connected Data Matters
By Bryce Merkl Sasaki
July 17, 2018|
Reading time: 5 minutes
“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 →
Keywords: Big Data • Connected Data • data model • Data Relationships • graph database • graph technology • neo4j • nosql • rdbms • relational database
The ROI on Connected Data:
Extract More Value from Existing Data Using Graphs [+ Telia Case Study]
By Jocelyn Hoppa
June 18, 2018|
Reading time: 5 minutes
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 →
Keywords: Big Data • Causal Clustering • Connected Data • data lake • data model • graph database • graph platform • graph technology • Oracle • rdbms
The ROI on Connected Data:
The Overlooked Value of Context for Business Insights [+ Airbnb Case Study]
By Bryce Merkl Sasaki
June 11, 2018|
Reading time: 4 minutes
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 →
Keywords: Airbnb • Apache Hive • Connected Data • data discovery • data model • digital transformation • elasticsearch • master data • PageRank • python
Graph Technology Is in the POLE Position to Help Law Enforcement [Video]
By Bryce Merkl Sasaki
April 19, 2018|
Reading time: 2 minutes
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|
Reading time: 3 minutes
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|
Reading time: 5 minutes
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|
Reading time: 10 minutes
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|
Reading time: 6 minutes
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|
Reading time: 7 minutes
[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|
Reading time: 4 minutes
“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|
Reading time: 6 minutes
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|
Reading time: 2 minutes
“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|
Reading time: 10 minutes
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|
Reading time: 3 minutes
“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|
Reading time: 8 minutes
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|
Reading time: 3 minutes
“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|
Reading time: 3 minutes
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|
Reading time: 11 minutes
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
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