How to Know What You Know:
5-Minute Interview with Dr. Alessandro Negro, Chief Scientist at GraphAware
By Jocelyn Hoppa
November 2, 2018|Reading time: 4 minutes
“I want to know what I know. That describes what knowledge graphs do for companies,” said Dr. Alessandro Negro, Chief Scientist at GraphAware. In this week’s five-minute interview, we discuss how GraphAware uses natural language processing to help companies gain… Read more →
Keywords: 5-minute interview • data model • fraud detection • graph algorithms • graph technology • Knowledge Graph • machine learning • natural language processing • Recommendation Engine • textual data
Graph Databases for Beginners: Why We Need NoSQL Databases
By Bryce Merkl Sasaki
October 25, 2018|Reading time: 6 minutes
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 →
Keywords: aggregate store • data model • data valence • data variety • data velocity • data volume • nosql • nosql database • relational database • sql
Visualizing Enterprise Architecture: 5-Minute Interview with Jessica Dembe & Patrick Elder, Blackstone Technology Group
By Jocelyn Hoppa
September 28, 2018|Reading time: 4 minutes
“Native visualization was something that stood out to us, and we had struggled trying to do the same thing with other tools,” said Patrick Elder, Product Architect at Blackstone Technology Group. Enterprise architecture connects numerous IT assets using information from… Read more →
Keywords: 5-minute interview • data model • enterprise architecture • federal government • graph technology • graphconnect • native visualization • natural language processing • rdbms • SharePoint
Mapping a Connected World: The Value of Geospatial Graph Visualization
By Jocelyn Hoppa
September 27, 2018|Reading time: 6 minutes
One of the world’s first maps featured the night sky. Surprisingly, it also featured connected data. Over 1,000 years ago, Chinese astronomers used manuscript to plot 1,300 stars, recognizing the importance of making connections between clusters to identify constellations. Their… Read more →
Keywords: cyber threats • cypher • data model • fraud detection • geospatial information • graph database • graph visualization • Keylines
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
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