Enterprise Architectures: Real-time Neo4j Graph Updates using Kafka Messaging
Here I show how Kafka can push millions of update messages to a Neo4j graph. Super cool and super fast. Some setup work, not too hard. »
The Power of Graph Analytics
Data is great, but true insight comes from examining relationships between data points.
Hiding somewhere in your data are patterns of relationships representing money on left on the table - if only they could be discovered.
Some of the largest and most successful companies, including Facebook, eBay, LinkedIn, PitneyBowes, Cisco and Microsoft analyze their most important data in graph databases.
These companies use graphs to efficiently compute recommendations, organize social networks, manage master data, optimize marketing and detect fraud - complex pattern analyses simply not possible in SQL databases.
This ability to quickly extract patterns from massive amounts of data is why graph databases are at the forefront of enterprise analytics.
There are a number of graph databases, but the top ranked and most well-suited for enterprise deployment is Neo4j.
Meet Neo4j - The World's Fastest Graph Database Platform
Neo4j is a highly scalable, native graph database that leverages data relationships as first-class entities
Neo4j Marketing Recommendations Using Last Touch Attribution Modeling and k-NN Binary Cosine Similarity- Part 1. Marketing Attribution Modeling
This is Part 1 of two-post series on how to use graphs and graph analytics to make make better marketing recommendations, starting with marketing attribution modeling. »
Neo4j Marketing Recommendations Using Last Touch Attribution Modeling and k-NN Binary Cosine Similarity- Part 2. Marketing Recommendations
In Part 2 of this series, I'll show you how to easily compute event-based similarities in a Neo4j graph and construct a simple marketing recommendation engine. »
Refactor 1M Nodes in 30 Seconds with Neo4j Indexes: Neo4j Category Refactoring for Large Graphs using Bolt, Indexes & Batching
Here I take a look at how indexes and batching efficiently breaks out parent nodes from millions of child nodes in a very large Neo4j graph. »
2 Billion Relationships, 450M Nodes on an Azure VM: Neo4j 3.1 Performance on Azure VM with Bitlocker Disk Encryption
In this post, I'll share tips for importing massive files into a Neo4j graph and also take a look at the impact of Bitlocker on Azure. »