Creating Super-Charged Neo4j Dashboards with NeoDash 2.1

As graph databases and graph data is getting more traction in the world the need for specialized graph powered visualization tools to provide feedback to end users is needed.A variety of tools are already available to visualize force-directed graphs but as… Read more →


Main hall of the East Building of the National Gallery of Art, Washington, DC.

Graph Databases Explained: How Relationships Change Everything

If you use ours or anyone’s native graph database system, and you wind up with a data model that is not connected, not networked, and does not account for all the possible relationships between all the elements of data in your entire data warehouse, you’re doing it wrong. Read more →


Healthcare Analytics Sandbox: Load and Analyze FDA Adverse Event Reporting System Data With Neo4j

Health care analytics is an analysis activity that can be undertaken as a result of data collected from four areas within healthcare:Claims and Cost DataPharmaceutical and Research and Development (R&D) DataClinical Data (collected from electronic medical records (EHRs))Patient Behavior and Sentiment Data (patient… Read more →


Importing Your Data Into Neo4j Just Got Even Easier

Earlier this year, we introduced a new tool, Data Importer, to help users easily import their flat file data into Neo4j’s graph database without writing a single line of code. It works by simply providing your flat file data (CSV or TSV) to the Data Importer web interface, modeling the nodes and relationships visually, and mapping the files to your model. Read more →


User Segmentation Based on Node Roles in the Peer-to-Peer Payment Network

Knowing your users is vital to any business. When your users can interact with each other on a social media platform, content sharing platform, or even work-related platforms, you can construct a network between your users based on their interactions and extract graph-based features to segment your users. Of course, these same approaches can be applied to other platforms that are not user-centric. Read more →


Building an Educational Platform on Neo4j

It was always my intention to build the new site in the open on the Neo4j Twitch Channel, but in the end, time got the better of me and I ended up quietly developing the backend in stealth mode. So, in lieu of a Twitch stream, I wanted to take the time to write a follow-up post with some of the more technical aspects of the GraphAcademy rebuild. Read more →


Neo4j Ops Manager and Spring Data Neo4j

In the last week of June 2022, Neo4j Ops Manager (NOM) was released. My colleague Chris Shelmerdine published a great post with many insights into functionality but also into technical details about how NOM is built: Introducing Neo4j Ops Manager: The Tool You Need to Boost Your Ops Team’s Productivity. Read more →


Using Neo4j Graph Data Science in Python to Improve Machine Learning Models

A wave of graph-based approaches to data science and machine learning is rising. We live in an era where the exponential growth of graph technology is predicted [1]. The ability to analyze data points through the context of their relationships… Read more →


Analyzing Roland Garros and US Open Tennis Tournaments Via Neo4j

For graph generation, we will use the singles dataset curated by Jeff Sackmann in the tennis_wta and tennis_atp repositories. Jeff’s repositories include CSV files containing all the matches on the Women’s WTA tournaments between 1920 and 2022 and the Men’s ATP tournaments from 1968 to 2022. Strictly speaking, he always keeps the repositories up-to-date. Great thanks to Jeff Sackmann for curating the datasets. Read more →