Category: Neo4J

Neo4j – H3 Library – Update

After about four years (where did that time go?), I have circled back to Neo4j and H3 geospatial data processing. Since version 3.4, Neo4j has a native geospatial datatype. Neo4j uses the WGS-84 and WGS-84 3D coordinate reference system. Within Neo4j, we can index these point properties and query using our distance function or you query within a bounding […]

Neo4j – Uber H3 – Geospatial

We are going to take a slight detour with regards to the healthcare blog series and talk about Uber H3. H3 is a hexagonal hierarchical geospatial indexing system. It comes with an API for indexing coordinates into a global grid. The grid is fully global and you can choose your resolution. The advantages and disadvantages […]

Neo4j – Leveraging a graph for healthcare search

Graph-based search is intelligent: You can ask much more precise and useful questions and get back the most relevant and meaningful information, whereas traditional keyword-based search delivers results that are more random, diluted and low-quality. With graph-based search, you can easily query all of your connected data in real time, then focus on the answers […]

Modeling events in Neo4j to look for patterns

Recently, some of the prospects that I work with have wanted to understand event data and felt like a graph database would be the best approach. Being new to graphs, they aren’t always sure of the best modeling approach. There are some resources available that talk about modeling events. For example, Neo4j’s own Mark Needham […]

Neo4j – New Neo4j-import

Neo4j has recently announced the 2.2 Milestone 2 release. Among the exciting features is the improved and fully integrated “Superfast Batch Loader”. This utility (unsurprisingly) called neo4j-import, now supports large scale non-transactional initial loads (of 10M to 10B+ elements) with sustained throughputs around 1M records (node or relationship or property) per second. Neo4j-import is available […]