Background Place / Point of Interest (POI) recommendations provide locations that are of interest to a person searching for an interesting place to see within a geographic area. Recent papers have been published to identify different approaches to address this problem. One paper looks at Graph Neural Networks. A second paper looks at using Large […]
Tag: Neo4J
Neo4j – H3 Datasets
H3 allows us to help make sense of large amounts of data. For this blog series, we will use the NYC Taxi Data set and add in the NYC Taxi Zones, New York Counties, NYC Boroughs and NYC Buildings. I also added in Open Street Map POI data using the Python notebook from my colleague […]
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 […]
Kafka – Neo4j – SSL Config
This blogpost provides guidance to configure SSL security between Kafka and Neo4j. This will provide data encryption between Kafka and Neo4j. This does not address ACL confguration inside of KAFKA. Self Signed Certificates This section came from https://medium.com/talking-tech-all-around/how-to-enable-and-verify-client-authentication-in-kafka-21e936e670e8Make sure that you have truststore and keystore JKSs for each server.+ In case you want a self signed […]
Neo4j – Kafka – MySQL: Configuration – Part 1
With the new Neo4j Kafka streams now available, there has been a few articles such as A New Neo4j Integration with Apache Kafka and How to leverage Neo4j Streams and build a just-in-time data warehouse and Processing Neo4j Transaction Events with KSQL and Kafka Streams and finally How to embrace event-driven graph analytics using Neo4j and Apache […]
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 […]
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 […]
Hadoop, Impala and Neo4J
Back in December, I wrote about some ways of moving data from Hadoop into Neo4J using Pig, Py2Neo and Neo4J. Overall, it was successful although maybe not at the scale I would have liked. So this is really attempt number two at using Hadoop technology to populate a Neo4J instance. In this post, I’ll use […]