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 […]
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 […]
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 […]
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 […]