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Neo4j in 2024: Delivering on Our Vision of Cloud-First Graph Technology
Jan 15 9 mins read
When I joined Neo4j as Chief Product Officer in early 2023, we set an ambitious goal: build the industry's most comprehensive cloud-native graph database and analytics offering. In 2024, we made significant progress in transforming that vision into reality, helping organizations uncover... read more
This Week in Neo4j – Health Care & Life Sciences Workshop, Cloudflare Workers, Apache Hop, and More
Nov 20, 2021 6 mins read
Hello, everyone! It’s that time again to explore the latest news in this week's edition of This Week in Neo4j. This week, we feature the Neo4j Health Care & Life Sciences Workshop 2021, a two-day workshop with in-depth technical presentations from the healthcare and life... read more
From Law Enforcement to Graph Technology: An Unlikely Relationship
Nov 18, 2021 3 mins read
After spending 14 years in data technology and most recently working in law enforcement for Interpol out of Singapore, I was drawn (again) into the realm of connected data and decided to take the leap of "Graith" (Graph + Faith). So Why Did I Join Neo4j? It was a timely opportunity,... read more
From Graph to Knowledge Graph: Actioning vs. Decisioning Knowledge Graphs
Nov 17, 2021 4 mins read
Unleashing the power of knowledge is imperative for enterprises looking for a competitive edge. Everyone wants to capture knowledge, to connect everything that they know. However, turning data into knowledge is still very much an ongoing effort – though progress has been made, most data... read more
This Week in Neo4j – Big Announcements, Rugby Stats, Social Graphs, and Mergers & Acquisitions
Nov 13, 2021 6 mins read
Hello, everyone! It’s week two of four for my run publishing TWIN4J. Last week in the UK we enjoyed Bonfire Night, a night that I have found makes absolutely no sense outside of the UK. On 5 November 1605, a man named Guy Fawkes was arrested while guarding explosives beneath... read more
You Don’t Need a Crystal Ball When You Have Graph Data Science
Nov 12, 2021 3 mins read
Crystal balls, tarot cards, fortune tellers, Groundhog Day – all things used to make predictions. The problem is, they’re not very reliable. But you know what is reliable? Graph data science. Graph data science is a science-driven approach to gain knowledge from the relationships and... read more
Revealing the Life of a Twitter Troll with Visual Timeline Analytics
Nov 10, 2021 4 mins read
Editor's note: This presentation was given by Katerina Baousi at NODES 2021. Don't you ever wonder what the daily life of a Twitter troll looks like? Using Neo4j, I was able to build an application that reveals it. I'm going to introduce you to a different way to visualize your graphs, going... read more
