The official docs are actually useful now, so refer to those for up-to-date information.
##Neo4j GraphGist - Enterprise Architectures: Real-time Graph Updates using Kafka Messaging
Neo4j Use Case: Low Latency Graph Analytics & OLTP - Update 1M Nodes in 90 secs with Kafka and Neo4j Bolt
A recent Neo4j whitepaper describes how Monsanto is performing real-time updates on a 600M node Neo4j graph using Kafka to consume data extracted from a large Oracle Exadata instance.
This modern data architecture combines a fast, scalable messaging platform (Kafka) for low latency data provisioning and an enterprise graph database (Neo4j) for high performance, in-memory analytics & OLTP - creating new and powerful real-time graph analytics capabilities for your enterprise applications.
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#!/bin/bash | |
echo "Finding and Purging Big Files From Git History" | |
echo "==============================================" | |
echo "" | |
echo "http://naleid.com/blog/2012/01/17/finding-and-purging-big-files-from-git-history/" | |
echo "" | |
pushd "$(git rev-parse --show-toplevel)" > /dev/null |