Bring Order to Chaos: A Graph-Based Journey from Textual Data to Wisdom
By Jocelyn Hoppa
September 19, 2018|
Reading time: 10 minutes
Data is everywhere. News, blog posts, emails, videos and chats are just a few examples of the multiple streams of data we encounter on a daily basis. The majority of these streams contain textual data – written language – containing… Read more →
Keywords: ai • Connected Data • cypher • enterprise search engine • graph database • GraphAware Hume • Knowledge Graph • machine learning • nlp • Recommendation Engine
Custom Visualization Solutions: Getting the Most Out of Your Data
By Jocelyn Hoppa
September 18, 2018|
Reading time: 6 minutes
Neo4j is perfect for storing and processing large amounts of connected data. For example, in web analytics, where click-paths and custom events get logged, it is easy to get that data into Neo4j. Once the data is in the graph… Read more →
Keywords: Connected Data • cypher • Data Visualization • diagram data • diagram visualization • graph database • graphconnect • neo4j • Recommendation Engines • yFiles
5 Ways to Tackle Big Graph Data with KeyLines and Neo4j
By Jocelyn Hoppa
September 11, 2018|
Reading time: 6 minutes
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 →
Keywords: Big Data • cypher • data funnel • data management • data modeling • Data Visualization • graph analysis tools • graph database • graph visualization • Keylines
Effective Internal Risk Models for FRTB Compliance: The Importance of Risk Model Approval
By Jocelyn Hoppa
September 10, 2018|
Reading time: 4 minutes
Sweeping regulations are changing the way banks handle risk. The Fundamental Review of the Trading Book (FRTB) represents an important shift designed to provide a firm foundation for the future. While laws passed after the financial crisis offered a patchwork,… Read more →
Keywords: Basel IV • BCBS • data lineage • data silos • FRTB • graph database • internal risk model approval • internal risk models • risk compliance • risk management
Graph Databases for Beginners: Graph Theory & Predictive Modeling
By Joy Chao
September 5, 2018|
Reading time: 9 minutes
There’s a common one-liner, “I hate math…but I love counting money.” Except for total and complete nerds, a lot of people didn’t like mathematics while growing up. In fact, of all school subjects, it’s the most consistently derided in pop… Read more →
Keywords: graph database • Graph Theory • local bridge • Network Science • predictive analysis • predictive modeling • Social Graph • social science • structural balance • triadic closure
Powering Recommendations with a Graph Database: A Rapid Retail Example
By Jocelyn Hoppa
September 3, 2018|
Reading time: 5 minutes
It’s one thing to say that Neo4j streamlines real-time recommendations; it’s another to show you the code so you can see for yourself. In this series, we discuss how real-time recommendations support a number of different use cases, from product… Read more →
Keywords: cypher • entity-relationship diagram • facebook • graph database • graph technology • neo4j • real-time recommendations • Recommendations • Retail Recommendations • schema
The Graphie Awards: What They Are & How to Win One at GraphConnect 2018
By Bryce Merkl Sasaki
August 31, 2018|
Reading time: 2 minutes
Editor’s Note: This is literally the last day before tickets to GraphConnect 2018 go up in price. If you were holding out (for some reason?), this is your last chance before you have to fork over another Benjamin. You just… Read more →
Keywords: Connected Data • data journalism • graph database • graph technology • graphconnect • Graphie Awards • Graphies • machine learning • neo4j • Neo4j Community • Neo4j partners
Powering Recommendations with a Graph Database: Proven Business Benefits [+ Case Studies]
By Jocelyn Hoppa
August 27, 2018|
Reading time: 5 minutes
Relevant, real-time recommendations drive revenue, but they are challenging to deliver. That’s because good recommendations require bringing together so much data, surfacing the relationships between all that data and delivering just the right suggestion in context and in the moment.… Read more →
Keywords: Connected Data • data architecture • eBay • graph database • pricing engine • rdbms • real-time recommendations • Recommendations • sql • Walmart
Powering Recommendations with a Graph Database: Connect Buyer and Product Data
By Jocelyn Hoppa
August 20, 2018|
Reading time: 3 minutes
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 →
Keywords: customer relationship management • graph database • graph technology • nosql • personalized promotions • product recommendations • rdbms • real-time recommendations • Recommendations • relational database
Graph Databases for Beginners: Why a Database Query Language Matters (More Than You Think)
By Bryce Merkl Sasaki
August 15, 2018|
Reading time: 11 minutes
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 →
Keywords: cypher • cypher query language • database query language • graph database • graph technology • query language • rdbms • relational database • sql • structured query language
The Top 10 Reasons to Attend GraphConnect 2018 in New York City
By Jocelyn Hoppa
August 10, 2018|
Reading time: 5 minutes
Once again, GraphConnect makes its way back to the vibrant island of Manhattan this autumn! Whether you’re new to the world of graph database technology or you’ve been a part of the movement for some time, there’s something new for… Read more →
Keywords: Connected Data • cypher • data science • Data Visualization • graph algorithms • graph database • graph technology • graphconnect • knowledge graphs • machine learning
The Top 10 Reasons to Attend GraphConnect 2018 in New York City
By Bryce Merkl Sasaki
|
Reading time: 5 minutes
Once again, GraphConnect makes its way back to the vibrant island of Manhattan this autumn! Whether you’re new to the world of graph database technology or you’ve been a part of the movement for some time, there’s something new for… Read more →
Keywords: Connected Data • cypher • data science • Data Visualization • graph algorithms • graph database • graph technology • graphconnect • Knowledge Graph • machine learning
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
Casinos on Graphs: 5-Minute Interview with
Joe Stefaniak, CEO of IntelligentTag
By Jocelyn Hoppa
July 27, 2018|
Reading time: 4 minutes
“Especially when it comes to the financial sector or gaming, people need answers in real time,” said Joe Stefaniak, CEO of IntelligentTag. From slots and games to guest services to financial systems, casinos are chock full of data sources. Whether… Read more →
Keywords: 5-minute interview • ai • APOC • Connected Data • data governance • gaming industry • Graph Algorithm • graph database • machine learning • rdbms
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
Don’t Choose One Database… Choose Them All!
By Jocelyn Hoppa
July 19, 2018|
Reading time: 13 minutes
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 →
Keywords: APIs • cypher • data analysis • database technology • graph database • graphconnect • machine learning • nosql • relational database • SQL databases
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 Next Generation of Service Assurance:
Your Network Is a Graph
By Jocelyn Hoppa
July 16, 2018|
Reading time: 3 minutes
Service complexity is exploding. Communication Service Providers (CSPs) need a complete view of their network and its myriad interdependencies to drive real-time decisions and predict the impact of changes on the user experience. A native graph approach makes sense of… Read more →
Keywords: communication service providers • graph data model • graph database • graph platform • IT network operators • native graph • optimizing network services • rdbms • service assurance • telecommunications
Graph Databases for Beginners: Why Graph Technology Is the Future
By Bryce Merkl Sasaki
July 12, 2018|
Reading time: 6 minutes
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 →
Keywords: Big Data • Connected Data • graph database • graph technology • Graph Theory • index free adjacency • native graph database • neo4j • nosql • rdbms • relational database
Knowledge Graphs: The Path to Enterprise AI
By Jocelyn Hoppa
July 11, 2018|
Reading time: 24 minutes
Editor’s Note: This presentation was given by Michael Moore and Omar Azhar at GraphConnect New York in October 2017. Presentation Summary Once your data is connected in a graph, it’s easy to leverage it as a knowledge graph. To create… Read more →
Keywords: Connected Data • data mobilization • enterprise AI • enterprise search • graph database • graph technology • Knowledge Graph • machine learning • natural language processing • Recommendation Engine
The Next Generation of Service Assurance:
The Imperative to Advance
By Jocelyn Hoppa
July 9, 2018|
Reading time: 3 minutes
Service assurance is the way organizations optimize various services offered over networks (from phone calls and email to video and applications) to deliver a better end-user experience. For decades, service assurance practices used fragmented views of the network and services… Read more →
Keywords: graph database • native graph technology • network operations • network services • predictive modeling • rdbms • service assurance • software-defined networks • telecommunications • virtualization
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
Neo4j 3.4 Release Highlights in Less Than 8 Minutes [Video]
By Bryce Merkl Sasaki
May 21, 2018|
Reading time: 4 minutes
Hi everyone, My name is Ryan Boyd, and I’m on the Developer Relations team here at Neo4j. I want to talk with you today about our latest release Neo4j 3.4. Overview In Neo4j 3.4 we’ve made improvements across the entire… Read more →
Keywords: ACID • bolt • cache warming • cypher • database security • graph database • multi-tenant application • Neo4j 3.4 • Neo4j sandbox • spatial data
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