This blog post is mostly for my benefit and for the ability to go back and remember work that I have done. With that being said, this blog post talks about the Neo4j Spark Connector that allows a user to write from a Spark Data Frame to a Neo4j database. I will show the configuration […]
With the upcoming Neo4j 4.0 release, it was time to revisit deploying a Neo4j causal cluster via Docker. Our fantastic parter, GraphAware published a quickstart for deploying a cluster in Docker. Docker is a tool designed to make it easy to create, deploy, and run applications by using containers. Containers allow developers to package an […]
In Part 1, we configured Neo4j, Kafka and MySQL to talk using the Neo4j Kafka plugin and Maxwell’s Daemon. In part 2, I will show how data can be added into MySQL and then added/modified/deleted in Neo4j through the Kafka connector. For our dataset, I chose the Musicbrainz dataset. This dataset has several tables and […]
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 […]
I love coffee. I love finding new coffee shops and trying out great coffee roasters. Some of my favorites are Great Lakes Coffee, Stumptown Roasters in NYC’s Ace Hotel, Red Rooster (my choice for home delivery) and my go-to local coffee shop, The Grounds. The Grounds is owned by friends and you have to love […]
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 […]
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 […]
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 […]
This post describes how to set up Amazon CloudWatch. Amazon CloudWatch Logs allows you to monitor, store, and access your Neo4j log files from Amazon EC2 instances, AWS CloudTrail, or other sources. You can then retrieve the associated log data from CloudWatch Logs using the Amazon CloudWatch console, the CloudWatch Logs commands in the AWS […]
Quite frequently, I get asked about how you could import data from Hadoop and bring it into Neo4j. More often than not, the request is about importing from Impala or Hive. Today, Neo4j isn’t able to directly access an HDFS file system so we have to use a different approach. For this example, we will […]