Graph Data Platforms: Collections vs. Connections
By David Penick
January 11, 2021 < 1 min read
Read this blog to find out how graph databases differ from SQL and NoSQL databases, empowering you to reap the benefits of connected data.
Explore: AI / Machine Learning Collections vs. Connections Data Relationships graph data platforms nosql real-time recommendation relational databases vs. graph
Event Stream Processing: How Banks Can Overcome SQL and NoSQL Related Obstacles with Apache Kafka
By Finextra - August 21, 2020
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The Secret Sauce of Neo4j: Modeling and Querying Graphs
By Allison Wu
July 1, 2020 24 mins read
Learn about the secret sauce of Neo4j, and understand what graphs are all about. Delve into use cases such as recommendation engines and flight data.
Explore: cypher graphconnect modeling nosql property graph model Recommendation Engine Relational Databases secret sauce of Neo4j sql use cases
Podcast: Ep. 51: Neo4j CEO on graph databases and the 5 ways to compete against cloud platforms
By ArchitechtShow - April 4, 2020
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Being in Control and Staying Agile with Graph Requires Shifting Left at ING
By Jocelyn Hoppa
May 6, 2020 22 mins read
Stay agile and in control with graph, which requires shifting left and designing architecture that eliminates migrations and ensures consistency.
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Different types of NoSQL databases and when to use them
By Packt - September 10, 2019
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It’s All in the Relationships: 15 Rules of a Native Graph Database
By Jocelyn Hoppa
September 9, 2019 4 mins read
Learn all the rules of what makes up a native graph database and its deep search advantages over NoSQL relational databases.
Explore: ACID cypher graph database platform index free adjacency labeled property graph native graph database neo4j nosql relational database
NoSQL Data Modeling: 5-Minute Interview with Pascal Desmarets
By Jocelyn Hoppa
June 28, 2019 3 mins read
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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Graphs in Government: Introduction to Graph Technology
By Jocelyn Hoppa
April 22, 2019 3 mins read
Read this blog series to learn more about graph technology and discover the real-world use cases of graph databases in government.
Explore: asset management elasticsearch government solutions graph database knowledge base MongoDB nasa nosql rdbms relational database
Applying Graphs to Enterprise Media Asset Management
By Jocelyn Hoppa
March 28, 2019 10 mins read
Editor’s Note: This presentation was given by Brant Boehmann and Chris Goodacre at GraphConnect New York in October 2017. Presentation Summary Scripps Networks Interactive is a leading developer of engaging lifestyle content in the home, food and travel categories for… Read more →
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Graph Databases for Beginners: Other Graph Technologies
By Bryce Merkl Sasaki
December 11, 2018 8 mins read
Back in the day (when Prussia was still a thing), Königsberg must have been a really boring place. That’s because the definition of fun in Königsberg was to walk around the city’s seven bridges and find a path that only… Read more →
Explore: data model graph database graph technology hypergraph native graph database nosql nosql database property graph RDF Triple Store
Graph Databases for Beginners: A (Brief) Tour of Aggregate Stores
By Bryce Merkl Sasaki
November 27, 2018 9 mins read
In 1841, William Buckland was one of the first paleontologists to observe what today we call the Cambrian explosion. At the time, he naturally knew that it would become a favorite metaphor used the world over to describe whenever we… Read more →
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Graph Databases for Beginners: ACID vs. BASE Explained
By Bryce Merkl Sasaki
November 13, 2018 4 mins read
When it comes to NoSQL databases, data consistency models can sometimes be strikingly different than those used by relational databases (as well as quite different from other NoSQL stores). The two most common consistency models are known by the acronyms… Read more →
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If You Build It They Will Come: Starting a GraphDB Meetup Where There Is None
By Jocelyn Hoppa
October 30, 2018 4 mins read
About seven years ago, I came across Neo4j while trying to find a way to visually represent stored information and make connections like the human brain does. At the time, I only really needed to build an awesome recommendation engine… Read more →
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Interchangeable Parts: 5-Minute Interview with Preston Hendrickson, Principal Systems Analyst at CALIBRE
By Jocelyn Hoppa
October 26, 2018 4 mins read
“It’s easy to teach people to use Neo4j. It’s hands-on training, not death by PowerPoint,” said Preston Hendrickson, Principal Systems Analyst at CALIBRE. CALIBRE works with large government customers, including the U.S. Army, where maintenance, operation and support costs of… Read more →
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Graph Databases for Beginners: Why We Need NoSQL Databases
By Bryce Merkl Sasaki
October 25, 2018 7 mins read
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 →
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Chip Design on Graphs: 5-Minute Interview with Chuck Calio, Offering Manager, IBM PowerAI
By Jocelyn Hoppa
October 19, 2018 4 mins read
We use Neo4j to design our next-generation Power chips, said Chuck Calio, Offering Manager IBM PowerAI at IBM. The future of graph technology is in AI, but it’s not the only use case. From designing hardware (naturally a graph) to… Read more →
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Enterprise AI for IT Ops: 5-Minute Interview with Clayton Ching, Global Head of Customer Success at Digitate
By Jocelyn Hoppa
October 12, 2018 4 mins read
“I believe everyone in the IT ops space is going to have to implement graph data a lot sooner than they think,” said Clayton Ching, Global Head of Customer Success at Digitate. IT operations is complex, with thousands of systems… Read more →
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Powering Recommendations with a Graph Database: Connect Buyer and Product Data
By Jocelyn Hoppa
August 20, 2018 4 mins read
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 →
Explore: customer relationship management graph database graph technology nosql personalized promotions product recommendations rdbms real-time recommendations Recommendations relational database
Financial Risk Reporting: Building a Risk Metadata Foundation
By Jocelyn Hoppa
August 6, 2018 4 mins read
Regulations, such as BCBS 239, are driving banks to reexamine the way they manage financial risk management data. Building a connected data foundation supports a world of innovative uses of your enterprise data – including 360-degree visibility of your customers,… Read more →
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Don’t Choose One Database… Choose Them All!
By Jocelyn Hoppa
July 19, 2018 16 mins read
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 →
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Graph Databases for Beginners: Why Connected Data Matters
By Bryce Merkl Sasaki
July 17, 2018 6 mins read
“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 →
Explore: Big Data Connected Data data model Data Relationships graph database graph technology neo4j nosql rdbms relational database
Graph Databases for Beginners: Why Graph Technology Is the Future
By Bryce Merkl Sasaki
July 12, 2018 7 mins read
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 →
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Connecting the Tech Stack: 5-Minute Interview with Tim Ward, CEO at CluedIn
By Jocelyn Hoppa
June 29, 2018 6 mins read
“Connected data is always more interesting than disconnected data, especially when you’re wanting to do something like we do,” said Tim Ward, CEO at CluedIn. For Tim, it’s all about flexibility, scalability and resilience. As the CEO (and an engineer)… Read more →
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